1dba3025b159cd9354da65e2d0436a31-Paper.pdf

Neural Information Processing Systems 

Traditionally, federated learning (FL) aims to train a single global model while collaboratively using multiple clients and a server. Two natural challenges that FL algorithms face are heterogeneity in data across clients and collaboration of clients with diverse resources.

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