Naseem Amin Yehya

Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers

Byzantine-robust learning has emerged as a prominent fault-tolerant distributed machine learning framework. However, most techniques focus on the *static* setting, wherein the identity of Byzantine workers remains unchanged throughout the learning process. This assumption fails to capture real-world…