Communication-Efficient and Byzantine-Robust Differentially Private Federated Learning
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DOI: 10.1109/lcomm.2022.3180113
Abstract: Federated learning, as a novel paradigm of machine learning, is facing a series of challenges such as efficiency, privacy and robustness. The recently proposed EF-DP- SIGNSGD provides theoretical privacy protection for SIGNSGD with majority vote… read more here.
Keywords: efficient byzantine; communication efficient; federated learning; byzantine ... See more keywords