Zobrazeno 1 - 1
of 1
pro vyhledávání: '"Yehya, Naseem"'
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 proc
Externí odkaz:
http://arxiv.org/abs/2402.02951
