FedGraph: an Aggregation Method from Graph Perspective. (arXiv:2210.02733v1 [cs.CV])

With the increasingly strengthened data privacy act and the difficult data
centralization, Federated Learning (FL) has become an effective solution to
collaboratively train the model while preserving each client's privacy. FedAvg
is a standard aggregation algorithm that makes the proportion of dataset size
of each client as aggregation weight. However, it can't deal with
non-independent and identically distributed (non-i.i.d) data well because of
its fixed aggregation weights and the neglect of data distribution. In this
paper, we propose an aggregation …

aggregation arxiv graph perspective