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FedSocket makes exchanged knowledge directly usable from federated training to recipient inference, demonstrating the value of combining local and exchanged predictions.
PrivSynth is proposed, a framework that quantifies multiple privacy risks and integrates it into the control ob-jective, and achieves better utility and stronger privacy protection than state-of-the-art methods.
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