@misc{indiciae00ccd409f019,
  title = {FedEFsz: Fair Cross-Silo Federated Learning System With Error-Bounded Lossy Compression},
  author = {Zhang, Zhaorui [Hong Kong Polytechnic University, Kowloon (Hong Kong)] (ORCID:0000000177174306) and Di, Sheng [Argonne National Laboratory (ANL), Argonne, IL (United States)] (ORCID:0000000273395256) and Liu, Benben [University of Hong Kong, Pokfulam (Hong Kong)] (ORCID:0009000983009740) and Ji, Zhuoran [Shandong University, Jinan (China)] (ORCID:0000000197672767) and Li, Guanpeng [University of Iowa, Iowa City, IA (United States)] (ORCID:0000000177737826) and Lu, Xiaoyi [University of California, Merced, CA (United States)] (ORCID:0000000175818905) and Zhou, Amelie Chi [Hong Kong Baptist University, Kowloon (Hong Kong)] and Alharthi, Khalid Ayed [University of Bisha (Saudi Arabia)] (ORCID:0000000246867414) and Cao, Jiannong [Hong Kong Polytechnic University, Kowloon (Hong Kong)] (ORCID:0000000227252529)},
  year = {2025},
  doi = {10.1109/tpds.2025.3593896},
  url = {https://www.osti.gov/biblio/3372307},
  note = {Source identifier: 3372307}
}