Byzantine-resilient decentralized stochastic gradient descent

• Main Authors: Guo, Shangwei, Zhang, Tianwei, Yu, Han, Xie, Xiaofei, Ma, Lei, Xiang, Tao, Liu, Yang
• 其他作者: College of Computing and Data Science
• 格式: Article
• 語言: English
• 出版: 2024
• 主題: Computer and Information Science; Artificial intelligence; Federated learning
• 在線閱讀: https://hdl.handle.net/10356/179057
• 機構: Nanyang Technological University

Decentralized learning has gained great popularity to improve learning efficiency and preserve data privacy. Each computing node makes equal contribution to collaboratively learn a Deep Learning model. The elimination of centralized Parameter Servers (PS) can effectively address many issues such as...