• 日期: 2025-06-10
  • 标签: 教育
  1. "A Survey on Federated Learning: Challenges and Opportunities" by Yang Liu, Tianjian Chen, and Qiang Yang (2019)
  2. "Federated Learning with Non-IID Data" by H. Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas (2017)
  3. "Communication-Efficient Learning of Deep Networks from Decentralized Data" by H. Brendan McMahan and Daniel Ramage (2017)
  4. "Federated Optimization: Distributed Machine Learning for On-Device Intelligence" by Jakub Konečný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, and Dave Bacon (2016)
  5. "Towards Efficient Federated Learning: A Study of Single-Node Training" by Yang Liu, Tianjian Chen, and Qiang Yang (2020)
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