{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,15]],"date-time":"2025-11-15T17:25:09Z","timestamp":1763227509942,"version":"3.37.3"},"reference-count":10,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T00:00:00Z","timestamp":1725926400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,9,10]],"date-time":"2024-09-10T00:00:00Z","timestamp":1725926400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100000266","name":"Engineering and Physical Sciences Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000266","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,9,10]]},"DOI":"10.1109\/spawc60668.2024.10694371","type":"proceedings-article","created":{"date-parts":[[2024,10,7]],"date-time":"2024-10-07T17:41:27Z","timestamp":1728322887000},"page":"31-35","source":"Crossref","is-referenced-by-count":0,"title":["Partial Model Pruning and Personalization for Wireless Federated Learning"],"prefix":"10.1109","author":[{"given":"Xiaonan","family":"Liu","sequence":"first","affiliation":[{"name":"University of Aberdeen,School of Natural and Computing Science,UK"}]},{"given":"Tharmalingam","family":"Ratnarajah","sequence":"additional","affiliation":[{"name":"The University of Edinburgh,School of Engineering,UK"}]},{"given":"Mathini","family":"Sellathurai","sequence":"additional","affiliation":[{"name":"Heriot-Watt University,Department of Engineering and Physical Science,Edinburgh,UK"}]},{"given":"Yonina C.","family":"Eldar","sequence":"additional","affiliation":[{"name":"Weizmann Institute of Science,Faculty of Mathematics and Computer Science,Israel"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2021.3125282"},{"journal-title":"Federated and meta learning over non-wireless and wireless networks: A tutorial","year":"2022","author":"Liu","key":"ref2"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2022.3196463"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2023.3314277"},{"journal-title":"Federated learning from heterogeneous data via controlled bayesian air aggregation","year":"2023","author":"Gafni","key":"ref5"},{"key":"ref6","article-title":"Federated learning with partial model personalization","volume":"162","author":"Pillutla","year":"2022","journal-title":"ICML"},{"journal-title":"Partially personalized federated learning: Breaking the curse of data heterogeneity","year":"2023","author":"Mishchenko","key":"ref7"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/TNNLS.2022.3166101"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/twc.2023.3329450"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.01152"}],"event":{"name":"2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","start":{"date-parts":[[2024,9,10]]},"location":"Lucca, Italy","end":{"date-parts":[[2024,9,13]]}},"container-title":["2024 IEEE 25th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10693862\/10693954\/10694371.pdf?arnumber=10694371","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T03:11:05Z","timestamp":1732677065000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10694371\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,9,10]]},"references-count":10,"URL":"https:\/\/doi.org\/10.1109\/spawc60668.2024.10694371","relation":{},"subject":[],"published":{"date-parts":[[2024,9,10]]}}}