Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization.
Long Tan Le|Tuan Dung Nguyen|Tung-Anh Nguyen|Choong Seon Hong|Suranga Seneviratne|Wei Bao|Nguyen Hoang Tran
| Anthology ID: | DBLP:conf/cikm/LeNNHS0T24 |
|---|---|
| Volume: | Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024 |
| Year: | 2024 |
| Venue: | International Conference on Information and Knowledge Management (CIKM) |
| Publisher: | ACM |
| Pages: | 1132-1142 |
| URL: | https://doi.org/10.1145/3627673.3679752 |
| DOI: | https://doi.org/10.1145/3627673.3679752 |
| DBLP: | conf/cikm/LeNNHS0T24 |
| BibTeX: |
@inproceedings{le-2024-federated,
author = {Long Tan Le and
Tuan Dung Nguyen and
Tung-Anh Nguyen and
Choong Seon Hong and
Suranga Seneviratne and
Wei Bao and
Nguyen Hoang Tran},
editor = {Edoardo Serra and
Francesca Spezzano},
title = {{Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization}},
booktitle = {{Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, CIKM 2024, Boise, ID, USA, October 21-25, 2024}},
pages = {1132--1142},
publisher = {ACM},
year = {2024},
url = {https://doi.org/10.1145/3627673.3679752},
doi = {https://doi.org/10.1145/3627673.3679752}
}