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InfoResearchPeer-reviewed

Sanitizer: Blazing-Fast, Private, and Robust Federated Learning

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Summary

Sanitizer is a federated learning framework that combines privacy protection with Byzantine robustness while avoiding heavy cryptographic techniques. Its core is two new protocols, high-dimensional boolean summation and weighted boolean majority vote, built on a Byzantine-robust defense for sign-based FL. On real-world datasets, the authors report 19 to 23 times less runtime than the state of the art, with accuracy matching plaintext and superior robustness against classic attacks.