A heuristic using server learning plus filtering and geometric median aggregation maintains high accuracy in federated learning with over 50% malicious clients and small non-matching server data.
Zeno: Distributed stochastic gradient descent with suspicion-based fault-tolerance
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Enhancing Robustness of Federated Learning via Server Learning
A heuristic using server learning plus filtering and geometric median aggregation maintains high accuracy in federated learning with over 50% malicious clients and small non-matching server data.