{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T07:18:26Z","timestamp":1772090306914,"version":"3.50.1"},"reference-count":33,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,11,12]],"date-time":"2025-11-12T00:00:00Z","timestamp":1762905600000},"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","award":["62202055,62202109"],"award-info":[{"award-number":["62202055,62202109"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,11,12]]},"DOI":"10.1109\/icdm65498.2025.00101","type":"proceedings-article","created":{"date-parts":[[2026,2,25]],"date-time":"2026-02-25T20:53:50Z","timestamp":1772052830000},"page":"933-942","source":"Crossref","is-referenced-by-count":0,"title":["POSFed: Tackling Non-IID Challenges in One-Shot Federated Learning via Personalization"],"prefix":"10.1109","author":[{"given":"Yinghao","family":"Zhang","sequence":"first","affiliation":[{"name":"Advanced Institute of Natural Sciences, Beijing Normal University,Zhuhai,China"}]},{"given":"Xuanzhe","family":"Xiao","sequence":"additional","affiliation":[{"name":"Hong Kong Baptist University,Department of Mathematics,Hong Kong"}]},{"given":"Jianxiong","family":"Guo","sequence":"additional","affiliation":[{"name":"Advanced Institute of Natural Sciences, Beijing Normal University,Zhuhai,China"}]},{"given":"Zhiqing","family":"Tang","sequence":"additional","affiliation":[{"name":"Advanced Institute of Natural Sciences, Beijing Normal University,Zhuhai,China"}]},{"given":"Qiufen","family":"Ni","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, Guangdong University of Technology,Guangzhou,China"}]},{"given":"Weili","family":"Wu","sequence":"additional","affiliation":[{"name":"The University of Texas at Dallas,Department of Computer Science,Richardson,TX,USA"}]}],"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","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1561\/2200000083"},{"key":"ref3","first-page":"3557","article-title":"Personalized federated learning with theoretical guarantees: A model-agnostic meta-learning approach","volume":"33","author":"Fallah","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref4","first-page":"21 394","article-title":"Personalized federated learning with more au envelopes","volume":"33","author":"Dinh","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2020.3015958"},{"key":"ref6","first-page":"19586","article-title":"An efficient frame-work for clustered federated learning","volume":"33","author":"Ghosh","year":"2020","journal-title":"Advances in neural information processing systems"},{"key":"ref7","first-page":"429","article-title":"Federated optimization in heterogeneous networks","volume-title":"Proceedings of Machine learning and systems","volume":"2","author":"Li","year":"2020"},{"key":"ref8","first-page":"5132","article-title":"Scaffold: Stochastic controlled averaging for federated learning","volume-title":"International conference on machine learning","author":"Karimireddy","year":"2020"},{"key":"ref9","author":"Wang","year":"2018","journal-title":"Dataset distillation"},{"key":"ref10","author":"Zhou","year":"2020","journal-title":"Distilled one-shot federated learning"},{"key":"ref11","author":"Chen","year":"2018","journal-title":"Federated meta-learning with fast convergence and efficient communication"},{"key":"ref12","article-title":"Federated multi-task learning","volume":"30","author":"Smith","year":"2017","journal-title":"Advances in neural information processing systems"},{"key":"ref13","author":"Corinzia","year":"2019","journal-title":"Variational federated multi-task learning"},{"key":"ref14","first-page":"2089","article-title":"Exploiting shared representations for personalized federated learning","volume-title":"International conference on machine learning","author":"Collins","year":"2021"},{"key":"ref15","author":"Jiang","year":"2019","journal-title":"Improving feder-ated learning personalization via model agnostic meta learning"},{"key":"ref16","author":"Wang","year":"2019","journal-title":"Federated evaluation of on-device personalization"},{"key":"ref17","author":"Mansour","year":"2020","journal-title":"Three approaches for personalization with applications to federated learning"},{"key":"ref18","article-title":"Dataset condensation with gradi-ent matching","volume-title":"International Conference on Learning Representations","author":"Zhao"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01045"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/WACV56688.2023.00645"},{"key":"ref21","first-page":"9813","article-title":"Dataset distillation using neural feature regression","volume":"35","author":"Zhou","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref22","article-title":"Dataset meta-learning from kernel ridge-regression","volume-title":"International Conference on Learning Representations","author":"Nguyen"},{"key":"ref23","author":"Guha","year":"2019","journal-title":"One-shot federated learning"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/IJCNN54540.2023.10191879"},{"key":"ref25","first-page":"21414","article-title":"Dense: Data-free one-shot federated learning","volume":"35","author":"Zhang","year":"2022","journal-title":"Advances in Neural Information Processing Systems"},{"key":"ref26","article-title":"Self-supervised dataset distillation for transfer learning","author":"Lee","year":"2024","journal-title":"ICLR"},{"key":"ref27","volume-title":"Machine learning: a probabilistic perspective","author":"Murphy","year":"2012"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref29","author":"Xiao","year":"2017","journal-title":"Fashion-mnist: a novel image dataset for benchmarking machine learning algorithms"},{"key":"ref30","author":"Krizhevsky","year":"2009","journal-title":"Learning multiple layers of features from tiny images"},{"issue":"2","key":"ref31","first-page":"4","article-title":"Reading digits in natural images with unsupervised feature learning","volume-title":"NIPS workshop on deep learning and unsupervised feature learning","volume":"2011","author":"Netzer","year":"2011"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.3233\/FAIA240790"},{"key":"ref33","first-page":"12310","article-title":"Barlow twins: Self-supervised learning via redundancy reduction","volume-title":"International conference on machine learning","author":"Zbontar","year":"2021"}],"event":{"name":"2025 IEEE International Conference on Data Mining (ICDM)","location":"Washington DC, DC, USA","start":{"date-parts":[[2025,11,12]]},"end":{"date-parts":[[2025,11,15]]}},"container-title":["2025 IEEE International Conference on Data Mining (ICDM)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11391637\/11391711\/11391965.pdf?arnumber=11391965","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,2,26]],"date-time":"2026-02-26T06:50:10Z","timestamp":1772088610000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11391965\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,12]]},"references-count":33,"URL":"https:\/\/doi.org\/10.1109\/icdm65498.2025.00101","relation":{},"subject":[],"published":{"date-parts":[[2025,11,12]]}}}