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} }