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Hello, thanks for sharing your wonderful codes.
Recently I’m trying to reproduce the results in the paper FAIRRESOURCEALLOCATION INFEDERATED LEARNING. While plotting the right figure on Figure 9(q-FFL is more efficient than AFL), I failed to get a similar plot as given. No matter how I tune the parameters, the lowest accuracy among all devices remains nearly 20% for AFL algorithm even after 80 rounds of training. Could you please tell me how to set the two parameters $\gamma_w$ and $\gamma_\lambda$ ?
The text was updated successfully, but these errors were encountered:
Hello, thanks for sharing your wonderful codes.$\gamma_w$ and $\gamma_\lambda$ ?
Recently I’m trying to reproduce the results in the paper FAIRRESOURCEALLOCATION INFEDERATED LEARNING. While plotting the right figure on Figure 9(q-FFL is more efficient than AFL), I failed to get a similar plot as given. No matter how I tune the parameters, the lowest accuracy among all devices remains nearly 20% for AFL algorithm even after 80 rounds of training. Could you please tell me how to set the two parameters
The text was updated successfully, but these errors were encountered: