Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions

Yongwei Lin, Yucheng Long, Zhili Zhou, Yan Pang, Chunsheng Yang. Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions. In Jaideep Vaidya, Moncef Gabbouj, Jin Li, editors, Artificial Intelligence Security and Privacy - First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part I. Volume 14509 of Lecture Notes in Computer Science, pages 172-189, Springer, 2023. [doi]

@inproceedings{LinLZPY23,
  title = {Towards Heterogeneous Federated Learning: Analysis, Solutions, and Future Directions},
  author = {Yongwei Lin and Yucheng Long and Zhili Zhou and Yan Pang and Chunsheng Yang},
  year = {2023},
  doi = {10.1007/978-981-99-9785-5_13},
  url = {https://doi.org/10.1007/978-981-99-9785-5_13},
  researchr = {https://researchr.org/publication/LinLZPY23},
  cites = {0},
  citedby = {0},
  pages = {172-189},
  booktitle = {Artificial Intelligence Security and Privacy - First International Conference on Artificial Intelligence Security and Privacy, AIS&P 2023, Guangzhou, China, December 3-5, 2023, Proceedings, Part I},
  editor = {Jaideep Vaidya and Moncef Gabbouj and Jin Li},
  volume = {14509},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-9785-5},
}