Robust Aggregation for Federated Learning

arXiv preprint 2019 Krishna PillutlaSham M. KakadeZaid Harchaoui

We present a robust aggregation approach to make federated learning robust to settings when a fraction of the devices may be sending corrupted updates to the server. The proposed approach relies on a robust secure aggregation oracle based on the geometric median, which returns a robust aggregate using a constant number of calls to a regular non-robust secure average oracle... (read more)

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