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} }