Similarity based federated learning for heterogeneous data
This work proposes a similarity-based algorithm, FedKNN, which utilizes similarity between clients as part of the aggregation and restricts aggregation to the most similar neighborhood of the client, and represents the client networks as graph and shows that through similar neighborhood aggregation clients can benefit...