A Framework for Evaluating Gradient Leakage Attacks in Federated Learning

22 Apr 2020Wenqi WeiLing LiuMargaret LoperKa-Ho ChowMehmet Emre GursoyStacey TruexYanzhao Wu

Federated learning (FL) is an emerging distributed machine learning framework for collaborative model training with a network of clients (edge devices). FL offers default client privacy by allowing clients to keep their sensitive data on local devices and to only share local training parameter updates with the federated server... (read more)

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