You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
Thanks for the excellent code, I have the following questions:
Where should I contribute (add) my code if I want to implement federated learning with limited resources. For example, I need to simulate the delay and energy consumption of weight upload, as well as the distribution of data in each edge node, training delay and energy consumption, etc. In order to achieve the above, I need to add functions, such as increasing the heterogeneity settings of clients, or realizing the bandwidth and network gain of transmission links.
Unfortunately, I don't see a way to do it in the existing code, and it seems that the above simulation is difficult to achieve. How should I insert it?
The text was updated successfully, but these errors were encountered:
@MaLeiOnline You can follow the documentation to customize a FL client. You can consider overwriting thet_trainfunctions trainorpost_trainfor controlling training delay,uploadorpost_upload` for controlling the bandwidth.
Thanks for the excellent code, I have the following questions:
Where should I contribute (add) my code if I want to implement federated learning with limited resources. For example, I need to simulate the delay and energy consumption of weight upload, as well as the distribution of data in each edge node, training delay and energy consumption, etc. In order to achieve the above, I need to add functions, such as increasing the heterogeneity settings of clients, or realizing the bandwidth and network gain of transmission links.
Unfortunately, I don't see a way to do it in the existing code, and it seems that the above simulation is difficult to achieve. How should I insert it?
The text was updated successfully, but these errors were encountered: