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Showing 1 to 1 of 1 for “"Gradient leakage; Federated Learning; Privacy; Machine Learning; Privacy attacks"”.

  1. Testing Federated Learning Privacy Through Gradient Leakage Attacks

    Federated Learning (FL) has recently gained popularity as a way of collaboratively training machine learning models across multiple clients. FL training proceeds in communication rounds, in which each client receives a global model from the FL server and sends back parameter updates computed on its …

    ethz Repository record for Testing Federated Learning Privacy Through Gradient Leakage Attacks (opens in a new tab)