FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation.
Yuwei Fan|Yuan Yao|Wei Xi|Quan Zhao|Zelei Liu|Lixin Fan|Qiang Yang|Jian Jin
| Anthology ID: | DBLP:journals/tist/FanYXZLFYJ26 |
|---|---|
| Year: | 2026 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 19:1-19:24 |
| URL: | https://doi.org/10.1145/3779055 |
| DOI: | https://doi.org/10.1145/3779055 |
| DBLP: | journals/tist/FanYXZLFYJ26 |
| BibTeX: |
@article{fan-2026-fedprs,
author = {Yuwei Fan and
Yuan Yao and
Wei Xi and
Quan Zhao and
Zelei Liu and
Lixin Fan and
Qiang Yang and
Jian Jin},
title = {{FedPRS: A Privacy-preserving Representation Synthesis Framework for Federated Contribution Evaluation}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {17},
number = {1},
pages = {19:1--19:24},
year = {2026},
url = {https://doi.org/10.1145/3779055},
doi = {https://doi.org/10.1145/3779055}
}