Cyber Security Webinar by Rui Wang MSc - Privacy-preserving Byzantine-Robust Federated Learning

07 december 2021 12:00 t/m 12:45 - Locatie: Zoom meeting | Zet in mijn agenda

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Meeting ID: 938 5166 1903

Passcode: 931813


Privacy and Byzantine-robustness are two major concerns of federated learning (FL), but mitigating both threats simultaneously is highly challenging: privacy-preserving strategies prohibit access to individual model updates to avoid leakage, while Byzantine-robust methods require access for comprehensive mathematical analysis. Besides, most Byzantine-robust methods only work in the honest-majority setting.

In this webinar, I will introduce previous works about this topic and presents some expected experimental results about Privacy-preserving FL to resist > 1/2 Byzantine attacks.

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