{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T10:05:05Z","timestamp":1767261905203,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,5,20]],"date-time":"2024-05-20T00:00:00Z","timestamp":1716163200000},"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":[[2024,5,20]]},"DOI":"10.1109\/infocomwkshps61880.2024.10620835","type":"proceedings-article","created":{"date-parts":[[2024,8,13]],"date-time":"2024-08-13T17:19:39Z","timestamp":1723569579000},"page":"1-6","source":"Crossref","is-referenced-by-count":3,"title":["Efficient Adapting for Vision-language Foundation Model in Edge Computing Based on Personalized and Multi-Granularity Federated Learning"],"prefix":"10.1109","author":[{"given":"Fei","family":"Gao","sequence":"first","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]},{"given":"Yunfeng","family":"Zhao","sequence":"additional","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]},{"given":"Chao","family":"Qiu","sequence":"additional","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]},{"given":"Xiaofei","family":"Wang","sequence":"additional","affiliation":[{"name":"Tianjin University,College of Intelligence and Computing,Tianjin,China"}]}],"member":"263","reference":[{"key":"ref1","article-title":"On the oppor-tunities and risks of foundation models","author":"Bommasani","year":"2021","journal-title":"ar Xiv preprint"},{"key":"ref2","first-page":"8748","article-title":"Learning transferable visual models from natural language supervision","volume-title":"ICML","author":"Radford","year":"2021"},{"key":"ref3","article-title":"When foundation model meets feder-ated learning: Motivations, challenges, and future directions","author":"Zhuang","year":"2023","journal-title":"arXiv preprint"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE53745.2022.00077"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ICDCS54860.2022.00049"},{"key":"ref6","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","volume-title":"AISTATS","author":"McMahan","year":"2017"},{"key":"ref7","article-title":"Towards personalized federated learning","author":"Tan","year":"2022","journal-title":"IEEE TNNLS"},{"journal-title":"Federated learning with personalization layers","year":"2019","author":"Arivazhagan","key":"ref8"},{"key":"ref9","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume":"2","author":"Li","year":"2020","journal-title":"MLSys"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i9.16960"},{"issue":"8","key":"ref11","first-page":"3710","article-title":"Clustered federated learning: Model-agnostic distributed multitask optimization under privacy constraints","volume":"32","author":"Sattler","year":"2020","journal-title":"IEEE TNNLS"},{"key":"ref12","article-title":"Supervision exists everywhere: A data efficient contrastive language-image pre-training paradigm","author":"Li","year":"2021","journal-title":"arXiv preprint"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-022-01653-1"},{"key":"ref14","article-title":"Promptfl: Let federated partic-ipants cooperatively learn prompts instead of models-federated learning in age of foundation model","author":"Guo","year":"2023","journal-title":"IEEE TMC"},{"key":"ref15","first-page":"1364","article-title":"pfedprompt: Learning personalized prompt for vision-language models in fed-erated learning","author":"Guo","year":"2023","journal-title":"WWW"},{"key":"ref16","first-page":"26342","article-title":"Chils: Zero-shot image classification with hierarchical label sets","volume-title":"ICML","author":"Novack","year":"2023"}],"event":{"name":"IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)","start":{"date-parts":[[2024,5,20]]},"location":"Vancouver, BC, Canada","end":{"date-parts":[[2024,5,20]]}},"container-title":["IEEE INFOCOM 2024 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10620660\/10620661\/10620835.pdf?arnumber=10620835","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,8,14]],"date-time":"2024-08-14T17:29:31Z","timestamp":1723656571000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10620835\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,5,20]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/infocomwkshps61880.2024.10620835","relation":{},"subject":[],"published":{"date-parts":[[2024,5,20]]}}}