Gradient-Leakage Resilient Federated Learning
2021 IEEE 41st International Conference on Distributed Computing Systems (ICDCS)(2021)
摘要
Federated learning(FL) is an emerging distributed learning paradigm with default client privacy because clients can keep sensitive data on their devices and only share local training parameter updates with the federated server. However, recent studies reveal that gradient leakages in FL may compromise the privacy of client training data. This paper presents a gradient leakage resilient approach to...
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关键词
Training,Differential privacy,Privacy,Distance learning,Heuristic algorithms,Training data,Distributed databases
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