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modify Fed.py #45

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modify Fed.py #45

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6 changes: 5 additions & 1 deletion main_fed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -71,6 +71,10 @@
best_loss = None
val_acc_list, net_list = [], []

dict_len = []
for i in range(args.num_users):
dict_len.append(len(dict_users[i]))

if args.all_clients:
print("Aggregation over all clients")
w_locals = [w_glob for i in range(args.num_users)]
Expand All @@ -89,7 +93,7 @@
w_locals.append(copy.deepcopy(w))
loss_locals.append(copy.deepcopy(loss))
# update global weights
w_glob = FedAvg(w_locals)
w_glob = FedAvg(w_locals, dict_len)

# copy weight to net_glob
net_glob.load_state_dict(w_glob)
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5 changes: 3 additions & 2 deletions models/Fed.py
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Original file line number Diff line number Diff line change
Expand Up @@ -7,10 +7,11 @@
from torch import nn


def FedAvg(w):
def FedAvg(w, dict_len):
w_avg = copy.deepcopy(w[0])
for k in w_avg.keys():
w_avg[k] = w_avg[k] * dict_len[0]
for i in range(1, len(w)):
w_avg[k] += w[i][k]
w_avg[k] += w[i][k] * dict_len[i]
w_avg[k] = torch.div(w_avg[k], len(w))
return w_avg