RoFL - Robustness of Secure Federated Learning

RoFL - Robustness of Secure Federated Learning

Explore a 15-minute IEEE conference talk examining the robustness of secure federated learning. Delve into the research presented by experts from ETH Zurich, including Hidde Lycklama, Lukas Burkhalter, Alexander Viand, Nicolas Küchler, and Anwar Hithnawi. Gain insights into the challenges and solutions surrounding the security and resilience of federated learning systems, a crucial aspect of distributed machine learning in privacy-sensitive environments.