2021
Federated Algorithm with Bayesian Approach: Omni-Fedge
ICASSP 2021accepted
In this paper, we consider the problem of Federated Learning (FL) under non-i.i.d data setting. We provide an improved estimate of the empirical loss at each node by using a weighted average of losses across nodes with a penalty term. These uneven weights to different nodes are assigned by taking a…