Poster · Atlanta

Optimal Byzantine-resilient Federated Learning with User-level Differential Privacy

Name: Optimal Byzantine-resilient Federated Learning with User-level Differential Privacy
Start: 2026-12-10T16:30:00-05:00
End: 2026-12-10T19:30:00-05:00
Location: Hall C1, Georgia World Congress Center

When: Thu 10 Dec 2026, 16:30–19:30 EST
Where: Hall C1, Georgia World Congress Center
Session: Atlanta Poster Session 4
Authors: Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
Organisations: Northeastern University, Carnegie Mellon University
QRS classification: Optimization, Safety, fairness and privacy, Efficient and distributed ML systems

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