Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity

Yangyang Wang, Xiao Zhang 0015, Mingyi Li, Tian Lan, Huashan Chen, Hui Xiong, Xiuzhen Cheng 0001, Dongxiao Yu. Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity. In Ambuj Singh, Yizhou Sun, Leman Akoglu, Dimitrios Gunopulos, Xifeng Yan, Ravi Kumar 0001, Fatma Ozcan, Jieping Ye, editors, Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023. pages 2444-2455, ACM, 2023. [doi]

@inproceedings{Wang0LLCX0Y23,
  title = {Theoretical Convergence Guaranteed Resource-Adaptive Federated Learning with Mixed Heterogeneity},
  author = {Yangyang Wang and Xiao Zhang 0015 and Mingyi Li and Tian Lan and Huashan Chen and Hui Xiong and Xiuzhen Cheng 0001 and Dongxiao Yu},
  year = {2023},
  doi = {10.1145/3580305.3599521},
  url = {https://doi.org/10.1145/3580305.3599521},
  researchr = {https://researchr.org/publication/Wang0LLCX0Y23},
  cites = {0},
  citedby = {0},
  pages = {2444-2455},
  booktitle = {Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, KDD 2023, Long Beach, CA, USA, August 6-10, 2023},
  editor = {Ambuj Singh and Yizhou Sun and Leman Akoglu and Dimitrios Gunopulos and Xifeng Yan and Ravi Kumar 0001 and Fatma Ozcan and Jieping Ye},
  publisher = {ACM},
}