Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework.
Yan Kang|Hanlin Gu|Xingxing Tang|Yuanqin He|Yuzhu Zhang|Jinnan He|Yuxing Han|Lixin Fan|Kai Chen|Qiang Yang
| Anthology ID: | DBLP:journals/tist/KangGTHZHHFCY24 |
|---|---|
| Year: | 2024 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 134:1-134:33 |
| URL: | https://doi.org/10.1145/3701039 |
| DOI: | https://doi.org/10.1145/3701039 |
| DBLP: | journals/tist/KangGTHZHHFCY24 |
| BibTeX: |
@article{kang-2024-optimizing,
author = {Yan Kang and
Hanlin Gu and
Xingxing Tang and
Yuanqin He and
Yuzhu Zhang and
Jinnan He and
Yuxing Han and
Lixin Fan and
Kai Chen and
Qiang Yang},
title = {{Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {15},
number = {6},
pages = {134:1--134:33},
year = {2024},
url = {https://doi.org/10.1145/3701039},
doi = {https://doi.org/10.1145/3701039}
}