Hiroto Sawada
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126
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2026
FLRSP: Privacy-Preserving Federated Learning Using Randomly Selected Model Parameters
The paper proposes FLRSP, a privacy-preserving federated learning method that enhances robustness by randomly selecting model parameters for global model updates, maintaining high accuracy against state-of-the-art attacks.
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