GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning.
Zelei Liu|Yuanyuan Chen|Han Yu|Yang Liu|Lizhen Cui
| Anthology ID: | DBLP:journals/tist/LiuCYLC22 |
|---|---|
| Year: | 2022 |
| Venue: | ACM Transactions on Intelligent Systems and Technology (TIST) |
| Pages: | 60:1-60:21 |
| URL: | https://doi.org/10.1145/3501811 |
| DOI: | https://doi.org/10.1145/3501811 |
| DBLP: | journals/tist/LiuCYLC22 |
| BibTeX: |
@article{liu-2022-gtgshapley,
author = {Zelei Liu and
Yuanyuan Chen and
Han Yu and
Yang Liu and
Lizhen Cui},
title = {{GTG-Shapley: Efficient and Accurate Participant Contribution Evaluation in Federated Learning}},
journal = {ACM Transactions on Intelligent Systems and Technology (TIST)},
volume = {13},
number = {4},
pages = {60:1--60:21},
year = {2022},
url = {https://doi.org/10.1145/3501811},
doi = {https://doi.org/10.1145/3501811}
}