FedPcf : An Integrated Federated Learning Framework with Multi-Level Prospective Correction Factor.
Yu Zang|Zhe Xue|Shilong Ou|Yunfei Long|Hai Zhou|Junping Du
| Anthology ID: | DBLP:conf/mir/ZangXOLZD23 |
|---|---|
| Volume: | Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, ICMR 2023, Thessaloniki, Greece, June 12-15, 2023 |
| Year: | 2023 |
| Venue: | International Conference on Multimedia Retrieval (ICMR) |
| Publisher: | ACM |
| Pages: | 490-498 |
| URL: | https://doi.org/10.1145/3591106.3592298 |
| DOI: | https://doi.org/10.1145/3591106.3592298 |
| DBLP: | conf/mir/ZangXOLZD23 |
| BibTeX: |
@inproceedings{zang-2023-fedpcf,
author = {Yu Zang and
Zhe Xue and
Shilong Ou and
Yunfei Long and
Hai Zhou and
Junping Du},
editor = {Ioannis Kompatsiaris and
Jiebo Luo and
Nicu Sebe and
Angela Yao and
Vasileios Mazaris and
Symeon Papadopoulos and
Adrian Popescu and
Zi Huang},
title = {{FedPcf : An Integrated Federated Learning Framework with Multi-Level Prospective Correction Factor}},
booktitle = {{Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, ICMR 2023, Thessaloniki, Greece, June 12-15, 2023}},
pages = {490--498},
publisher = {ACM},
year = {2023},
url = {https://doi.org/10.1145/3591106.3592298},
doi = {https://doi.org/10.1145/3591106.3592298}
}