{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,15]],"date-time":"2026-07-15T17:46:33Z","timestamp":1784137593991,"version":"3.55.0"},"reference-count":20,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,13]],"date-time":"2024-12-13T00:00:00Z","timestamp":1734048000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100006190","name":"Research and Development","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100006190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,13]]},"DOI":"10.1109\/hpcc64274.2024.00075","type":"proceedings-article","created":{"date-parts":[[2025,7,23]],"date-time":"2025-07-23T18:33:48Z","timestamp":1753295628000},"page":"516-521","source":"Crossref","is-referenced-by-count":1,"title":["FedMHC: Overcoming Dimensionality and Communication Challenges for Personalized Federated Learning Using Model Head Clustering"],"prefix":"10.1109","author":[{"given":"Haotian","family":"Zheng","sequence":"first","affiliation":[{"name":"Hohai University,School of Computer and Information,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingchi","family":"Mao","sequence":"additional","affiliation":[{"name":"Hohai University,School of Computer and Information,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Haowen","family":"Xu","sequence":"additional","affiliation":[{"name":"Hohai University,School of Computer and Information,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaoming","family":"He","sequence":"additional","affiliation":[{"name":"Nanjing University of Posts and Telecommunications,College of Internet of Things,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benteng","family":"Zhang","sequence":"additional","affiliation":[{"name":"Hohai University,School of Computer and Information,Nanjing,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Feng","family":"Mao","sequence":"additional","affiliation":[{"name":"Suma Technology Co., Ltd,Research and Development Department,Suzhou,China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jie","family":"Wu","sequence":"additional","affiliation":[{"name":"Temple University,Center of Networked Computing,Philadelphia,PA,U.S.A"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3625558"},{"key":"ref2","first-page":"7252","article-title":"Bayesian Nonparametric Federated Learning of Neural Networks","volume-title":"Proceedings of the 36th International Conference on Machine Learning","author":"Yurochkin"},{"key":"ref3","article-title":"FedSplit: An Algorithmic Framework for Fast Federated Optimization","author":"Pathak","year":"2020"},{"key":"ref4","first-page":"6357","article-title":"Ditto: Fair and robust federated learning through personalization","volume-title":"Proceedings of the International Conference on Machine Learning","author":"Li"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3329061"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1053\/j.akdh.2022.11.007"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/tit.2022.3192506"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01046-x"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-022-01132-0"},{"key":"ref10","article-title":"FedAC: An Adaptive Clustered Federated Learning Framework for Heterogeneous Data","author":"Zhang","year":"2024"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM53939.2023.10228895"},{"key":"ref12","first-page":"21394","article-title":"Personalized Federated Learning with Moreau Envelopes","author":"Dinh","year":"2020","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref13","first-page":"2089","article-title":"Exploiting Shared Representations for Personalized Federated Learning","volume-title":"International Conference on Machine Learning","author":"Collins"},{"key":"ref14","article-title":"Learning Multiple Layers of Features from Tiny Images","author":"Krizhevsky","year":"2009"},{"key":"ref15","article-title":"A Downsampled Variant of ImageNet as an Alternative to the CIFAR Datasets","author":"Chrabaszcz","year":"2017"},{"key":"ref16","article-title":"Character-level Convolutional Networks for Text Classification","author":"Zhang","year":"2015","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref17","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","author":"McMahan","year":"2017","journal-title":"Artificial Intelligence and Statistics"},{"key":"ref18","first-page":"429","article-title":"Federated Optimization in Heterogeneous Networks","volume-title":"Proceedings of Machine Learning and Systems","author":"Li"},{"key":"ref19","article-title":"On First-Order Meta-Learning Algorithms","author":"Nichol","year":"2018"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"}],"event":{"name":"2024 IEEE International Conference on High Performance Computing and Communications (HPCC)","location":"Wuhan, China","start":{"date-parts":[[2024,12,13]]},"end":{"date-parts":[[2024,12,15]]}},"container-title":["2024 IEEE International Conference on High Performance Computing and Communications (HPCC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11083115\/11083125\/11083137.pdf?arnumber=11083137","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T04:47:26Z","timestamp":1753332446000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11083137\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,13]]},"references-count":20,"URL":"https:\/\/doi.org\/10.1109\/hpcc64274.2024.00075","relation":{},"subject":[],"published":{"date-parts":[[2024,12,13]]}}}