{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T06:16:52Z","timestamp":1783145812407,"version":"3.54.6"},"reference-count":22,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,6,1]],"date-time":"2026-06-01T00:00:00Z","timestamp":1780272000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,6,1]]},"DOI":"10.1109\/iwcmc69287.2026.11580063","type":"proceedings-article","created":{"date-parts":[[2026,7,3]],"date-time":"2026-07-03T19:49:45Z","timestamp":1783108185000},"page":"1801-1806","source":"Crossref","is-referenced-by-count":0,"title":["Per-FedLoRA: Personalized Federated LoRA Fine-Tuning for Multi-Task Large Language Models"],"prefix":"10.1109","author":[{"given":"Zeyu","family":"Chen","sequence":"first","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yun","family":"Ji","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Peng","family":"He","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bowen","family":"Wang","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liwen","family":"Shi","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zijie","family":"Zeng","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sheng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua University,Tsinghua Shenzhen International Graduate School,Shenzhen,China,518055"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/bioengineering12060631"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-024-10921-0"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2025.emnlp-main.1579"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-020-00323-1"},{"key":"ref5","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics.","author":"McMahan","year":"2017"},{"key":"ref6","first-page":"1877","article-title":"Language models are few-shot learners","volume":"33","author":"Brown","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"issue":"2","key":"ref8","first-page":"3","article-title":"Lora: Low-rank adaptation of large language models","volume":"1","author":"Hu","year":"2022","journal-title":"Iclr"},{"key":"ref9","article-title":"Federated multi-task learning","volume":"30","author":"Smith","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0708"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1007\/s10462-025-11236-4"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671573"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0461"},{"key":"ref14","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li"},{"key":"ref15","first-page":"2089","article-title":"Exploiting shared representations for personalized federated learning","volume-title":"International conference on machine learning.","author":"Collins","year":"2021"},{"key":"ref16","article-title":"Pathnet: Evolution channels gradient descent in super neural networks","author":"Fernando","year":"2017"},{"key":"ref17","article-title":"Federated learning with personalization layers","author":"Arivazhagan","year":"2019"},{"issue":"120","key":"ref18","first-page":"1","article-title":"Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity","volume":"23","author":"Fedus","year":"2022","journal-title":"Journal of Machine Learning Research"},{"key":"ref19","first-page":"248","article-title":"Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain question answering","volume-title":"Conference on health, inference, and learning","author":"Pal"},{"key":"ref20","article-title":"Biocreative v cdr task corpus: a resource for chemical disease relation extraction","volume":"2016","author":"Li","year":"2016","journal-title":"Database"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-acl.305"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.3390\/app11146421"}],"event":{"name":"2026 International Wireless Communications and Mobile Computing (IWCMC)","location":"Wuzhou, China","start":{"date-parts":[[2026,6,1]]},"end":{"date-parts":[[2026,6,6]]}},"container-title":["2026 International Wireless Communications and Mobile Computing (IWCMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11579793\/11579794\/11580063.pdf?arnumber=11580063","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,7,4]],"date-time":"2026-07-04T05:26:22Z","timestamp":1783142782000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11580063\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,1]]},"references-count":22,"URL":"https:\/\/doi.org\/10.1109\/iwcmc69287.2026.11580063","relation":{},"subject":[],"published":{"date-parts":[[2026,6,1]]}}}