diff --git a/doc/locales/fr/LC_MESSAGES/framework-docs.po b/doc/locales/fr/LC_MESSAGES/framework-docs.po
index ec6618bb4c75..e6cd61627bf6 100644
--- a/doc/locales/fr/LC_MESSAGES/framework-docs.po
+++ b/doc/locales/fr/LC_MESSAGES/framework-docs.po
@@ -3,7 +3,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Flower Docs\n"
 "Report-Msgid-Bugs-To: EMAIL@ADDRESS\n"
-"POT-Creation-Date: 2024-09-26 00:29+0000\n"
+"POT-Creation-Date: 2024-09-27 00:30+0000\n"
 "PO-Revision-Date: 2023-09-05 17:54+0000\n"
 "Last-Translator: Charles Beauville <charles@flower.ai>\n"
 "Language: fr\n"
@@ -9538,7 +9538,7 @@ msgstr ""
 msgid "Flag to stream or print logs from the Flower run"
 msgstr ""
 
-#: ../../flwr log
+#: ../../flwr log run
 #, fuzzy
 msgid "default"
 msgstr "Flux de travail"
@@ -9615,6 +9615,17 @@ msgid ""
 " the `pyproject.toml` in order to be properly overriden."
 msgstr ""
 
+#: ../../flwr run:1
+msgid ""
+"Use `--stream` with `flwr run` to display logs; logs are not streamed by "
+"default."
+msgstr ""
+
+#: ../../flwr run:1
+#, fuzzy
+msgid "``False``"
+msgstr ":code:`évaluer`"
+
 #: ../../flwr run:1
 #, fuzzy
 msgid "Path of the Flower App to run."
@@ -28796,7 +28807,7 @@ msgstr ""
 "chose d'autre, comme la régression linéaire classique."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:41
-msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+msgid "|3a7aceef05f0421794726ac54aaf12fd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:109
@@ -28815,7 +28826,7 @@ msgstr ""
 " Go."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:53
-msgid "|131af8322dc5466b827afd24be98f8c0|"
+msgid "|d741075f8e624331b42c0746f7d258a0|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:111
@@ -28846,7 +28857,7 @@ msgstr ""
 "chanson."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:67
-msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+msgid "|8fc92d668bcb42b8bda55143847f2329|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:113
@@ -28867,7 +28878,7 @@ msgstr ""
 " données pour la même tâche."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:79
-msgid "|d62da263071d45a496f543e41fce3a19|"
+msgid "|1c705d833a024f22adcaeb8ae3d13b0b|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:115
@@ -28888,7 +28899,7 @@ msgstr ""
 "cloud."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:91
-msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+msgid "|77a037b546a84262b608e04bc82a2c96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:117
@@ -28909,7 +28920,7 @@ msgstr ""
 "appuyés."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:103
-msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+msgid "|f568e24c9fb0435690ac628210a4be96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:119
@@ -28934,7 +28945,7 @@ msgstr ""
 " sur un serveur centralisé."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:138
-msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+msgid "|a7bf029981514e2593aa3a2b48c9d76a|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:173
@@ -28953,7 +28964,7 @@ msgstr ""
 "suffisantes pour former un bon modèle."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:150
-msgid "|b021ff9d25814458b1e631f8985a648b|"
+msgid "|3f645ad807f84be8b1f8f3267173939c|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:175
@@ -29175,7 +29186,7 @@ msgstr ""
 "partir d'un point de contrôle précédemment sauvegardé."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:210
-msgid "|e6ca84e1df244f238288a768352678e5|"
+msgid "|a06a9dbd603f45819afd8e8cfc3c4b8f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:307
@@ -29210,7 +29221,7 @@ msgstr ""
 "rendements décroissants."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:225
-msgid "|39c2422082554a21963baffb33a0d057|"
+msgid "|edcf9a04d96e42608fd01a333375febe|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:309
@@ -29243,7 +29254,7 @@ msgstr ""
 "données locales, ou même de quelques étapes (mini-batchs)."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:240
-msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+msgid "|3dae22fe797043968e2b7aa7073c78bd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:311
@@ -29274,7 +29285,7 @@ msgstr ""
 " l'entraînement local."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:255
-msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+msgid "|ba178f75267d4ad8aa7363f20709195f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:313
@@ -29333,7 +29344,7 @@ msgstr ""
 "times as much as each of the 100 examples."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:273
-msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+msgid "|c380c750bfd2444abce039a1c6fa8e60|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:315
@@ -29476,7 +29487,7 @@ msgstr ""
 "quel cadre de ML et n'importe quel langage de programmation."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:334
-msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+msgid "|e7cec00a114b48359935c6510595132e|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:340
@@ -38376,3 +38387,45 @@ msgstr ""
 #~ msgid "|7e83aad011cd4907b2f02f907c6922e9|"
 #~ msgstr ""
 
+#~ msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+#~ msgstr ""
+
+#~ msgid "|131af8322dc5466b827afd24be98f8c0|"
+#~ msgstr ""
+
+#~ msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+#~ msgstr ""
+
+#~ msgid "|d62da263071d45a496f543e41fce3a19|"
+#~ msgstr ""
+
+#~ msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+#~ msgstr ""
+
+#~ msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+#~ msgstr ""
+
+#~ msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+#~ msgstr ""
+
+#~ msgid "|b021ff9d25814458b1e631f8985a648b|"
+#~ msgstr ""
+
+#~ msgid "|e6ca84e1df244f238288a768352678e5|"
+#~ msgstr ""
+
+#~ msgid "|39c2422082554a21963baffb33a0d057|"
+#~ msgstr ""
+
+#~ msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+#~ msgstr ""
+
+#~ msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+#~ msgstr ""
+
+#~ msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+#~ msgstr ""
+
+#~ msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+#~ msgstr ""
+
diff --git a/doc/locales/ko/LC_MESSAGES/framework-docs.po b/doc/locales/ko/LC_MESSAGES/framework-docs.po
index daae837e3bfc..4cdf1c565be6 100644
--- a/doc/locales/ko/LC_MESSAGES/framework-docs.po
+++ b/doc/locales/ko/LC_MESSAGES/framework-docs.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Flower main\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2024-09-26 00:29+0000\n"
+"POT-Creation-Date: 2024-09-27 00:30+0000\n"
 "PO-Revision-Date: 2024-08-23 13:09+0000\n"
 "Last-Translator: Seulki Yun <icstuckyi@gmail.com>\n"
 "Language: ko\n"
@@ -9257,7 +9257,7 @@ msgstr ""
 msgid "Flag to stream or print logs from the Flower run"
 msgstr ""
 
-#: ../../flwr log
+#: ../../flwr log run
 msgid "default"
 msgstr ""
 
@@ -9334,6 +9334,17 @@ msgid ""
 " the `pyproject.toml` in order to be properly overriden."
 msgstr ""
 
+#: ../../flwr run:1
+msgid ""
+"Use `--stream` with `flwr run` to display logs; logs are not streamed by "
+"default."
+msgstr ""
+
+#: ../../flwr run:1
+#, fuzzy
+msgid "``False``"
+msgstr "``flwr/base``"
+
 #: ../../flwr run:1
 #, fuzzy
 msgid "Path of the Flower App to run."
@@ -25754,7 +25765,7 @@ msgstr ""
 " 수도 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:41
-msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+msgid "|3a7aceef05f0421794726ac54aaf12fd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:109
@@ -25771,7 +25782,7 @@ msgstr ""
 " 바둑과 같은 게임을 하는 것일 수 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:53
-msgid "|131af8322dc5466b827afd24be98f8c0|"
+msgid "|d741075f8e624331b42c0746f7d258a0|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:111
@@ -25794,7 +25805,7 @@ msgstr ""
 "부르리는 것을 듣는 스마트 스피커에서 비롯됩니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:67
-msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+msgid "|8fc92d668bcb42b8bda55143847f2329|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:113
@@ -25812,7 +25823,7 @@ msgstr ""
 "있습니다. 하지만 여러 조직이 모두 같은 작업을 위해 데이터를 생성하는 것일 수도 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:79
-msgid "|d62da263071d45a496f543e41fce3a19|"
+msgid "|1c705d833a024f22adcaeb8ae3d13b0b|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:115
@@ -25830,7 +25841,7 @@ msgstr ""
 "서버는 데이터 센터 어딘가에 있을 수도 있고 클라우드 어딘가에 있을 수도 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:91
-msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+msgid "|77a037b546a84262b608e04bc82a2c96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:117
@@ -25847,7 +25858,7 @@ msgstr ""
 " 우리가 기본적으로 사용해 온 머신러닝 방법입니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:103
-msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+msgid "|f568e24c9fb0435690ac628210a4be96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:119
@@ -25869,7 +25880,7 @@ msgstr ""
 "트래픽을 분석하는 것이 있습니다. 이러한 사례에서 모든 데이터는 자연스럽게 중앙 서버에 존재합니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:138
-msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+msgid "|a7bf029981514e2593aa3a2b48c9d76a|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:173
@@ -25886,7 +25897,7 @@ msgstr ""
 "좋은 모델을 훈련하기에 충분하지 않을 수 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:150
-msgid "|b021ff9d25814458b1e631f8985a648b|"
+msgid "|3f645ad807f84be8b1f8f3267173939c|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:175
@@ -26053,7 +26064,7 @@ msgstr ""
 "체크포인트에서 모델 매개변수를 초기화합니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:210
-msgid "|e6ca84e1df244f238288a768352678e5|"
+msgid "|a06a9dbd603f45819afd8e8cfc3c4b8f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:307
@@ -26080,7 +26091,7 @@ msgstr ""
 "개의 연결 노드만 사용합니다. 그 이유는 점점 더 많은 클라이언트 노드를 선택하면 학습의 효율성이 감소하기 때문입니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:225
-msgid "|39c2422082554a21963baffb33a0d057|"
+msgid "|edcf9a04d96e42608fd01a333375febe|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:309
@@ -26107,7 +26118,7 @@ msgstr ""
 "데이터에서 한 단계 정도로 짧거나 몇 단계(mini-batches)에 불과할 수 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:240
-msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+msgid "|3dae22fe797043968e2b7aa7073c78bd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:311
@@ -26133,7 +26144,7 @@ msgstr ""
 "보냅니다. 보내는 모델 업데이트는 전체 모델 파라미터거나 로컬 교육 중에 누적된 그레디언트(gradient)일 수 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:255
-msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+msgid "|ba178f75267d4ad8aa7363f20709195f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:313
@@ -26182,7 +26193,7 @@ msgstr ""
 "많은 영향을 미칩니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:273
-msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+msgid "|c380c750bfd2444abce039a1c6fa8e60|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:315
@@ -26301,7 +26312,7 @@ msgstr ""
 "사용자는 모든 워크로드, 머신러닝 프레임워크 및 모든 프로그래밍 언어를 통합할 수 있습니다."
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:334
-msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+msgid "|e7cec00a114b48359935c6510595132e|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:340
@@ -29203,3 +29214,45 @@ msgstr ""
 #~ msgid "|7e83aad011cd4907b2f02f907c6922e9|"
 #~ msgstr ""
 
+#~ msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+#~ msgstr ""
+
+#~ msgid "|131af8322dc5466b827afd24be98f8c0|"
+#~ msgstr ""
+
+#~ msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+#~ msgstr ""
+
+#~ msgid "|d62da263071d45a496f543e41fce3a19|"
+#~ msgstr ""
+
+#~ msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+#~ msgstr ""
+
+#~ msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+#~ msgstr ""
+
+#~ msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+#~ msgstr ""
+
+#~ msgid "|b021ff9d25814458b1e631f8985a648b|"
+#~ msgstr ""
+
+#~ msgid "|e6ca84e1df244f238288a768352678e5|"
+#~ msgstr ""
+
+#~ msgid "|39c2422082554a21963baffb33a0d057|"
+#~ msgstr ""
+
+#~ msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+#~ msgstr ""
+
+#~ msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+#~ msgstr ""
+
+#~ msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+#~ msgstr ""
+
+#~ msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+#~ msgstr ""
+
diff --git a/doc/locales/pt_BR/LC_MESSAGES/framework-docs.po b/doc/locales/pt_BR/LC_MESSAGES/framework-docs.po
index a3a0f0668c7c..9c7a59d09008 100644
--- a/doc/locales/pt_BR/LC_MESSAGES/framework-docs.po
+++ b/doc/locales/pt_BR/LC_MESSAGES/framework-docs.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Flower main\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2024-09-26 00:29+0000\n"
+"POT-Creation-Date: 2024-09-27 00:30+0000\n"
 "PO-Revision-Date: 2024-05-25 11:09+0000\n"
 "Last-Translator: Gustavo Bertoli <gubertoli@gmail.com>\n"
 "Language: pt_BR\n"
@@ -8104,7 +8104,7 @@ msgstr ""
 msgid "Flag to stream or print logs from the Flower run"
 msgstr ""
 
-#: ../../flwr log
+#: ../../flwr log run
 msgid "default"
 msgstr ""
 
@@ -8176,6 +8176,17 @@ msgid ""
 " the `pyproject.toml` in order to be properly overriden."
 msgstr ""
 
+#: ../../flwr run:1
+msgid ""
+"Use `--stream` with `flwr run` to display logs; logs are not streamed by "
+"default."
+msgstr ""
+
+#: ../../flwr run:1
+#, fuzzy
+msgid "``False``"
+msgstr "``FLWR_VERSION``"
+
 #: ../../flwr run:1
 #, fuzzy
 msgid "Path of the Flower App to run."
@@ -24153,7 +24164,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:41
-msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+msgid "|3a7aceef05f0421794726ac54aaf12fd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:109
@@ -24168,7 +24179,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:53
-msgid "|131af8322dc5466b827afd24be98f8c0|"
+msgid "|d741075f8e624331b42c0746f7d258a0|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:111
@@ -24189,7 +24200,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:67
-msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+msgid "|8fc92d668bcb42b8bda55143847f2329|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:113
@@ -24205,7 +24216,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:79
-msgid "|d62da263071d45a496f543e41fce3a19|"
+msgid "|1c705d833a024f22adcaeb8ae3d13b0b|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:115
@@ -24221,7 +24232,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:91
-msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+msgid "|77a037b546a84262b608e04bc82a2c96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:117
@@ -24236,7 +24247,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:103
-msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+msgid "|f568e24c9fb0435690ac628210a4be96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:119
@@ -24256,7 +24267,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:138
-msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+msgid "|a7bf029981514e2593aa3a2b48c9d76a|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:173
@@ -24271,7 +24282,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:150
-msgid "|b021ff9d25814458b1e631f8985a648b|"
+msgid "|3f645ad807f84be8b1f8f3267173939c|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:175
@@ -24411,7 +24422,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:210
-msgid "|e6ca84e1df244f238288a768352678e5|"
+msgid "|a06a9dbd603f45819afd8e8cfc3c4b8f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:307
@@ -24435,7 +24446,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:225
-msgid "|39c2422082554a21963baffb33a0d057|"
+msgid "|edcf9a04d96e42608fd01a333375febe|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:309
@@ -24459,7 +24470,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:240
-msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+msgid "|3dae22fe797043968e2b7aa7073c78bd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:311
@@ -24482,7 +24493,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:255
-msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+msgid "|ba178f75267d4ad8aa7363f20709195f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:313
@@ -24520,7 +24531,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:273
-msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+msgid "|c380c750bfd2444abce039a1c6fa8e60|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:315
@@ -24614,7 +24625,7 @@ msgid ""
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:334
-msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+msgid "|e7cec00a114b48359935c6510595132e|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:340
@@ -32653,3 +32664,45 @@ msgstr ""
 #~ msgid "|7e83aad011cd4907b2f02f907c6922e9|"
 #~ msgstr ""
 
+#~ msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+#~ msgstr ""
+
+#~ msgid "|131af8322dc5466b827afd24be98f8c0|"
+#~ msgstr ""
+
+#~ msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+#~ msgstr ""
+
+#~ msgid "|d62da263071d45a496f543e41fce3a19|"
+#~ msgstr ""
+
+#~ msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+#~ msgstr ""
+
+#~ msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+#~ msgstr ""
+
+#~ msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+#~ msgstr ""
+
+#~ msgid "|b021ff9d25814458b1e631f8985a648b|"
+#~ msgstr ""
+
+#~ msgid "|e6ca84e1df244f238288a768352678e5|"
+#~ msgstr ""
+
+#~ msgid "|39c2422082554a21963baffb33a0d057|"
+#~ msgstr ""
+
+#~ msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+#~ msgstr ""
+
+#~ msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+#~ msgstr ""
+
+#~ msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+#~ msgstr ""
+
+#~ msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+#~ msgstr ""
+
diff --git a/doc/locales/zh_Hans/LC_MESSAGES/framework-docs.po b/doc/locales/zh_Hans/LC_MESSAGES/framework-docs.po
index 9b8d7297fb6d..ccf319df4629 100644
--- a/doc/locales/zh_Hans/LC_MESSAGES/framework-docs.po
+++ b/doc/locales/zh_Hans/LC_MESSAGES/framework-docs.po
@@ -7,7 +7,7 @@ msgid ""
 msgstr ""
 "Project-Id-Version: Flower main\n"
 "Report-Msgid-Bugs-To: \n"
-"POT-Creation-Date: 2024-09-26 00:29+0000\n"
+"POT-Creation-Date: 2024-09-27 00:30+0000\n"
 "PO-Revision-Date: 2024-06-12 10:09+0000\n"
 "Last-Translator: Yan Gao <y.gaogy@gmail.com>\n"
 "Language: zh_Hans\n"
@@ -9168,7 +9168,7 @@ msgstr ""
 msgid "Flag to stream or print logs from the Flower run"
 msgstr ""
 
-#: ../../flwr log
+#: ../../flwr log run
 #, fuzzy
 msgid "default"
 msgstr "工作流程"
@@ -9245,6 +9245,17 @@ msgid ""
 " the `pyproject.toml` in order to be properly overriden."
 msgstr ""
 
+#: ../../flwr run:1
+msgid ""
+"Use `--stream` with `flwr run` to display logs; logs are not streamed by "
+"default."
+msgstr ""
+
+#: ../../flwr run:1
+#, fuzzy
+msgid "``False``"
+msgstr "``FLWR_VERSION``"
+
 #: ../../flwr run:1
 #, fuzzy
 msgid "Path of the Flower App to run."
@@ -29352,7 +29363,7 @@ msgid ""
 msgstr "在机器学习中，我们有一个模型和数据。模型可以是一个神经网络（如图所示），也可以是其他东西，比如经典的线性回归。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:41
-msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+msgid "|3a7aceef05f0421794726ac54aaf12fd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:109
@@ -29367,7 +29378,7 @@ msgid ""
 msgstr "我们使用数据来训练模型，以完成一项有用的任务。任务可以是检测图像中的物体、转录音频或玩围棋等游戏。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:53
-msgid "|131af8322dc5466b827afd24be98f8c0|"
+msgid "|d741075f8e624331b42c0746f7d258a0|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:111
@@ -29388,7 +29399,7 @@ msgid ""
 msgstr "它源于智能手机上用户与应用程序的交互、汽车上传感器数据的收集、笔记本电脑上键盘输入的接收，或者智能扬声器上某人试着唱的歌。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:67
-msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+msgid "|8fc92d668bcb42b8bda55143847f2329|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:113
@@ -29406,7 +29417,7 @@ msgstr ""
 "\"通常不只是一个地方，而是很多地方。它可能是多个运行同一应用程序的设备。但也可能是多个组织，都在为同一任务生成数据。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:79
-msgid "|d62da263071d45a496f543e41fce3a19|"
+msgid "|1c705d833a024f22adcaeb8ae3d13b0b|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:115
@@ -29422,7 +29433,7 @@ msgid ""
 msgstr "因此，要使用机器学习或任何类型的数据分析，过去使用的方法是在中央服务器上收集所有数据。这个服务器可以在数据中心的某个地方，也可以在云端的某个地方。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:91
-msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+msgid "|77a037b546a84262b608e04bc82a2c96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:117
@@ -29437,7 +29448,7 @@ msgid ""
 msgstr "一旦所有数据都收集到一处，我们最终就可以使用机器学习算法在数据上训练我们的模型。这就是我们基本上一直依赖的机器学习方法。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:103
-msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+msgid "|f568e24c9fb0435690ac628210a4be96|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:119
@@ -29457,7 +29468,7 @@ msgid ""
 msgstr "我们刚刚看到的经典机器学习方法可以在某些情况下使用。很好的例子包括对假日照片进行分类或分析网络流量。在这些案例中，所有数据自然都可以在中央服务器上获得。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:138
-msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+msgid "|a7bf029981514e2593aa3a2b48c9d76a|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:173
@@ -29472,7 +29483,7 @@ msgid ""
 msgstr "但这种方法并不适用于许多其他情况。例如，集中服务器上没有数据，或者一台服务器上的数据不足以训练出一个好的模型。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:150
-msgid "|b021ff9d25814458b1e631f8985a648b|"
+msgid "|3f645ad807f84be8b1f8f3267173939c|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:175
@@ -29620,7 +29631,7 @@ msgid ""
 msgstr "我们首先在服务器上初始化模型。这与经典的集中式学习完全相同：我们随机或从先前保存的检查点初始化模型参数。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:210
-msgid "|e6ca84e1df244f238288a768352678e5|"
+msgid "|a06a9dbd603f45819afd8e8cfc3c4b8f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:307
@@ -29644,7 +29655,7 @@ msgid ""
 msgstr "接下来，我们会将全局模型的参数发送到连接的客户端节点（如智能手机等边缘设备或企业的服务器）。这是为了确保每个参与节点都使用相同的模型参数开始本地训练。我们通常只使用几个连接节点，而不是所有节点。这样做的原因是，选择越来越多的客户端节点会导致收益递减。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:225
-msgid "|39c2422082554a21963baffb33a0d057|"
+msgid "|edcf9a04d96e42608fd01a333375febe|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:309
@@ -29670,7 +29681,7 @@ msgstr ""
 "（mini-batches）。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:240
-msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+msgid "|3dae22fe797043968e2b7aa7073c78bd|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:311
@@ -29693,7 +29704,7 @@ msgid ""
 msgstr "经过本地训练后，每个客户节点最初收到的模型参数都会略有不同。参数之所以不同，是因为每个客户端节点的本地数据集中都有不同的数据。然后，客户端节点将这些模型更新发回服务器。它们发送的模型更新既可以是完整的模型参数，也可以只是本地训练过程中积累的梯度。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:255
-msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+msgid "|ba178f75267d4ad8aa7363f20709195f|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:313
@@ -29739,7 +29750,7 @@ msgstr ""
 " 100 个示例的 10 倍。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:273
-msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+msgid "|c380c750bfd2444abce039a1c6fa8e60|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:315
@@ -29846,7 +29857,7 @@ msgstr ""
 "为联邦学习、分析和评估提供了一种统一的方法。它允许用户联邦化任何工作负载、任何 ML 框架和任何编程语言。"
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:334
-msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+msgid "|e7cec00a114b48359935c6510595132e|"
 msgstr ""
 
 #: ../../source/tutorial-series-what-is-federated-learning.ipynb:340
@@ -33849,3 +33860,45 @@ msgstr ""
 #~ msgid "|7e83aad011cd4907b2f02f907c6922e9|"
 #~ msgstr ""
 
+#~ msgid "|4627c2bb6cc443ae9e079f81f33c9dd9|"
+#~ msgstr ""
+
+#~ msgid "|131af8322dc5466b827afd24be98f8c0|"
+#~ msgstr ""
+
+#~ msgid "|f92920b87f3a40179bf7ddd0b6144c53|"
+#~ msgstr ""
+
+#~ msgid "|d62da263071d45a496f543e41fce3a19|"
+#~ msgstr ""
+
+#~ msgid "|ad851971645b4e1fbf8d15bcc0b2ee11|"
+#~ msgstr ""
+
+#~ msgid "|929e9a6de6b34edb8488e644e2bb5221|"
+#~ msgstr ""
+
+#~ msgid "|404cf9c9e8d64784a55646c0f9479cbc|"
+#~ msgstr ""
+
+#~ msgid "|b021ff9d25814458b1e631f8985a648b|"
+#~ msgstr ""
+
+#~ msgid "|e6ca84e1df244f238288a768352678e5|"
+#~ msgstr ""
+
+#~ msgid "|39c2422082554a21963baffb33a0d057|"
+#~ msgstr ""
+
+#~ msgid "|07ecf5fcd6814e88906accec6fa0fbfb|"
+#~ msgstr ""
+
+#~ msgid "|57e78c0ca8a94ba5a64a04b1f2280e55|"
+#~ msgstr ""
+
+#~ msgid "|9819b40e59ee40a4921e1244e8c99bac|"
+#~ msgstr ""
+
+#~ msgid "|797bf279c4894b5ead31dc9b0534ed62|"
+#~ msgstr ""
+