Abstract: Federated Learning (FL) enables distributed model training without centralizing data, but it remains vulnerable to corrupted or adversarial clients that can degrade the global model through ...
Abstract: With the advent of the big data era, crossorganizational collaborative data computing faces challenges in privacy protection. Traditional secure multi-party computation (MPC) protocols ...
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