Federated learning — citation graph of key research

Explore the most influential research on federated learning as an interactive citation graph on Constellation. The papers below are connected by direct citations and shared references — open any one to center the graph on it and discover related work.

Top papers on federated learning

  1. A survey on federated learning
    Chen Bo Calvin Zhang, Yu Xie, Hang Bai et al. — 2021 · Knowledge-Based Systems · 1,889 citations
  2. Agnostic Federated Learning
    Mehryar Mohri, Gary Sivek, Ananda Theertha Suresh — 2019 · arXiv (Cornell University) · 589 citations
  3. Federated Learning for Healthcare Informatics
    Jie Xu, Benjamin Scott Glicksberg, Chang Su et al. — 2020 · Journal of Healthcare Informatics Research · 1,528 citations
  4. Federated Learning
    Qiang Yang, Yang Liu, Yong Cheng et al. — 2019 · Synthesis lectures on artificial intelligence and machine learning · 395 citations
  5. How To Backdoor Federated Learning
    Eugene Bagdasaryan, Andreas Veit, Yiqing Hua et al. — 2018 · arXiv (Cornell University) · 1,494 citations
  6. Federated Learning with Matched Averaging
    Hongyi Wang, Mikhail Yurochkin, Yuekai Sun et al. — 2020 · arXiv (Cornell University) · 725 citations
  7. Towards Personalized Federated Learning
    Alysa Ziying Tan, Han Yu, Lizhen Cui et al. — 2022 · IEEE Transactions on Neural Networks and Learning Systems · 1,336 citations
  8. Robust Aggregation for Federated Learning
    Krishna Pillutla, Sham M. Kakade, Zaïd Harchaoui — 2022 · IEEE Transactions on Signal Processing · 865 citations
  9. A review of applications in federated learning
    Li Li, Yuxi Fan, Ying Kei Tse et al. — 2020 · Computers & Industrial Engineering · 1,514 citations
  10. Federated Learning with Non-IID Data
    Yue Zhao, Meng Li, Liangzhen Lai et al. — 2018 · arXiv (Cornell University) · 2,075 citations
  11. Advances and Open Problems in Federated Learning
    Peter Kairouz, H. Brendan McMahan, Brendan Avent et al. — 2020 · Foundations and Trends® in Machine Learning · 7,606 citations
  12. Reliable Federated Learning for Mobile Networks
    Jiawen Kang, Zehui Xiong, Dusit Tao Niyato et al. — 2020 · IEEE Wireless Communications · 610 citations