Open ningwanyi opened 1 week ago
In our code you can use client_selection_frac < 1 since every round we use a new merged based model and new initialized LoRA.
Does it mean we should broadcast the stacked lora to all the clients in each round, so as to ensure all of them have the new merged based model?
If client_selection_frac < 1, how can you keep the initialization of the clients in the next round same? I mean, how to keep them always having the same merged model parameters?