{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T06:02:16Z","timestamp":1780639336009,"version":"3.54.1"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,4,20]],"date-time":"2026-04-20T00:00:00Z","timestamp":1776643200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100017592","name":"Key Science and Technology Program of Shaanxi Province","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100017592","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2026,4,20]]},"DOI":"10.23919\/date69613.2026.11539341","type":"proceedings-article","created":{"date-parts":[[2026,6,4]],"date-time":"2026-06-04T19:53:10Z","timestamp":1780602790000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["Dynamic Rank-Aware Aggregation with Graph Contrastive Learning for Federated Foundation Model Fine-Tuning"],"prefix":"10.23919","author":[{"given":"Zhao","family":"Yang","sequence":"first","affiliation":[{"name":"Chang’an University,School of Future Transportation,Xi’an,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xunyun","family":"Qiu","sequence":"additional","affiliation":[{"name":"Imperial College London,London,UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Hua","family":"Cui","sequence":"additional","affiliation":[{"name":"Chang’an University,School of Future Transportation,Xi’an,China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.3390\/app14135860"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v38i17.29837"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/access.2026.3698694"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/bdcc9040087"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671573"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.7717\/peerj-cs.2993"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP48485.2024.10447454"},{"key":"ref8","article-title":"Lora: Low-rank adaptation of large language models","volume-title":"International Conference on Learning Representations","author":"Hu"},{"key":"ref9","article-title":"Improving lora in privacy-preserving federated learning","volume-title":"International Conference on Learning Representations","author":"Sun"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.findings-emnlp.994"},{"key":"ref11","article-title":"Selective aggregation for low-rank adaptation in federated learning","volume-title":"International Conference on Learning Representations","author":"Guo"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/tc.2026.3655161"},{"key":"ref13","article-title":"Fed-pilot: Optimizing lora assignment for efficient federated foundation model fine-tuning","author":"Zhang","year":"2024"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.emnlp-main.717"},{"key":"ref15","article-title":"Towards federated low-rank adaptation with rank-heterogeneous communication","volume-title":"NeurIPS 2024 Workshop on Adaptive Foundation Models","author":"Byun"},{"key":"ref16","article-title":"Flora: Federated fine-tuning large language models with heterogeneous low-rank adaptations","volume-title":"Advances in Neural Information Processing Systems","author":"Wang"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-77072-2_4"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51701.2025.00356"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.52202\/079017-0461"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.52202\/079017-1245"},{"key":"ref21","article-title":"Fdlora: personalized federated learning of large language model via dual lora tuning","author":"Qi","year":"2024"},{"key":"ref22","article-title":"pfedlora: model-heterogeneous personalized federated learning with lora tuning","author":"Yi","year":"2023"},{"key":"ref23","article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","author":"Dosovitskiy","year":"2020"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref25","article-title":"Mlp-mixer: An all-mlp architecture for vision","volume-title":"Advances in neural information processing systems","author":"Tolstikhin"},{"key":"ref26","article-title":"Fedra: A random allocation strategy for federated tuning to unleash the power of heterogeneous clients","volume-title":"European Conference on Computer Vision","author":"Shangchao Su"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00149"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2020.107383"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"}],"event":{"name":"2026 Design, Automation & Test in Europe Conference (DATE)","location":"Verona, Italy","start":{"date-parts":[[2026,4,20]]},"end":{"date-parts":[[2026,4,22]]}},"container-title":["2026 Design, Automation & Test in Europe Conference (DATE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11539023\/11539024\/11539341.pdf?arnumber=11539341","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:18:06Z","timestamp":1780636686000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11539341\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,20]]},"references-count":29,"URL":"https:\/\/doi.org\/10.23919\/date69613.2026.11539341","relation":{},"subject":[],"published":{"date-parts":[[2026,4,20]]}}}