FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning.
Guochen Yan|Luyuan Xie|Qingni Shen|Yuejian Fang|Zhonghai Wu
| Anthology ID: | DBLP:conf/www/YanXSFW26 |
|---|---|
| Volume: | Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026. |
| Year: | 2026 |
| Venue: | The Web Conference (WWW) |
| Publisher: | ACM |
| Pages: | 5087-5098 |
| URL: | https://doi.org/10.1145/3774904.3792144 |
| DOI: | https://doi.org/10.1145/3774904.3792144 |
| DBLP: | conf/www/YanXSFW26 |
| BibTeX: |
@inproceedings{yan-2026-fedsrd,
author = {Guochen Yan and
Luyuan Xie and
Qingni Shen and
Yuejian Fang and
Zhonghai Wu},
editor = {Hakim Hacid and
Yoelle Maarek and
Francesco Bonchi and
Ido Guy and
Emine Yilmaz},
title = {{FedSRD: Sparsify-Reconstruct-Decompose for Communication-Efficient Federated Large Language Models Fine-Tuning}},
booktitle = {{Proceedings of the ACM Web Conference 2026, WWW 2026, Dubai, United Arab Emirates, originally scheduled for April 13-17, 2026, rescheduled for June 29 - July 3, 2026}},
pages = {5087--5098},
publisher = {ACM},
year = {2026},
url = {https://doi.org/10.1145/3774904.3792144},
doi = {https://doi.org/10.1145/3774904.3792144}
}