{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T05:44:05Z","timestamp":1760420645437,"version":"build-2065373602"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,5,23]],"date-time":"2025-05-23T00:00:00Z","timestamp":1747958400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"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":[[2025,5,23]]},"DOI":"10.1109\/icmlt65785.2025.11193423","type":"proceedings-article","created":{"date-parts":[[2025,10,13]],"date-time":"2025-10-13T17:39:05Z","timestamp":1760377145000},"page":"233-239","source":"Crossref","is-referenced-by-count":0,"title":["An Investigation of Parameter Efficient Federated Learning with Foundation Model"],"prefix":"10.1109","author":[{"given":"Zeyuan","family":"Wang","sequence":"first","affiliation":[{"name":"National University of Defense Technology,Laboratory for Big Data and Decision,Changsha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhendu","family":"Li","sequence":"additional","affiliation":[{"name":"National University of Defense Technology,Laboratory for Big Data and Decision,Changsha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanming","family":"Guo","sequence":"additional","affiliation":[{"name":"National University of Defense Technology,Laboratory for Big Data and Decision,Changsha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jun","family":"Tang","sequence":"additional","affiliation":[{"name":"National University of Defense Technology,Laboratory for Big Data and Decision,Changsha,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"Artificial intelligence and statistics","author":"McMahan"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/BigDIA56350.2022.9874186"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2020.2975749"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-85559-8_13"},{"article-title":"Federated learning: Opportunities and challenges","year":"2021","author":"Mammen","key":"ref5"},{"article-title":"Federated learning: Strategies for improving communication efficiency","year":"2016","author":"Kone\u010dn\u1ef3","key":"ref6"},{"article-title":"Robust federated learning in a heterogeneous environment","year":"2019","author":"Ghosh","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2023.103714"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.2024789118"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01566"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3479691"},{"key":"ref13","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"International Conference on machine learning","author":"Radford"},{"issue":"2","key":"ref14","first-page":"3","article-title":"Hierarchical text-conditional image generation with clip latents","volume":"1","author":"Ramesh","year":"2022"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/access.2024.3389497"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00982"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-023-01891-x"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.acl-short.1"},{"article-title":"Bert: Pre-training of deep bidirectional transformers for language understanding","year":"2018","author":"Devlin","key":"ref19"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-1031"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.346"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1145\/3560815"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-32381-3_16"},{"article-title":"Longformer: The long-document transformer","year":"2020","author":"Beltagy","key":"ref25"},{"article-title":"Electra: Pre-training text encoders as discriminators rather than generators","year":"2020","author":"Clark","key":"ref26"},{"article-title":"Man is to computer programmer as woman is to homemaker? debiasing word embeddings","year":"2016","author":"Bolukbasi","key":"ref27"},{"key":"ref28","article-title":"Equality of opportunity in supervised learning","volume-title":"Advances in neural information processing systems","volume":"29","author":"Hardt"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1145\/3632410.3632463"},{"key":"ref30","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"article-title":"An image is worth 16x16 words: Transformers for image recognition at scale","year":"2020","author":"Dosovitskiy","key":"ref31"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.03762"},{"article-title":"On the convergence of fedavg on non-iid data","year":"2019","author":"Li","key":"ref33"}],"event":{"name":"2025 10th International Conference on Machine Learning Technologies (ICMLT)","start":{"date-parts":[[2025,5,23]]},"location":"Helsinki, Finland","end":{"date-parts":[[2025,5,25]]}},"container-title":["2025 10th International Conference on Machine Learning Technologies (ICMLT)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11192828\/11192850\/11193423.pdf?arnumber=11193423","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T05:09:18Z","timestamp":1760418558000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11193423\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,23]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icmlt65785.2025.11193423","relation":{},"subject":[],"published":{"date-parts":[[2025,5,23]]}}}