Agnostic Federated Learning

1 Feb 2019Mehryar MohriGary SivekAnanda Theertha Suresh

A key learning scenario in large-scale applications is that of federated learning, where a centralized model is trained based on data originating from a large number of clients. We argue that, with the existing training and inference, federated models can be biased towards different clients... (read more)

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