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ENTITY Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error

Byzantine-robust decentralized stochastic optimization with stochastic gradient noise-independent learning error

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  1. TOOL · CL_141623 ·

    New Truncated-Quadratic Loss Enhances Federated Learning Robustness

    Researchers have developed a new aggregation rule for federated learning that utilizes a truncated-quadratic (TQ) loss function. This new method aims to improve robustness against malicious attacks and data heterogeneit…