{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T08:46:50Z","timestamp":1764838010289,"version":"3.46.0"},"reference-count":25,"publisher":"IEEE","license":[{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2025,8,6]],"date-time":"2025-08-06T00:00:00Z","timestamp":1754438400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/100016311","name":"Arm","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100016311","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,8,6]]},"DOI":"10.1109\/islped65674.2025.11261806","type":"proceedings-article","created":{"date-parts":[[2025,12,3]],"date-time":"2025-12-03T18:39:13Z","timestamp":1764787153000},"page":"1-7","source":"Crossref","is-referenced-by-count":0,"title":["TEE-SFL: Time and Energy-efficient solution for addressing communication heterogeneity in Split Federated Learning Schemes"],"prefix":"10.1109","author":[{"given":"Ziyi","family":"Zhao","sequence":"first","affiliation":[{"name":"Arizona State University,Tempe,AZ,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qifeng","family":"Chen","sequence":"additional","affiliation":[{"name":"Arizona State University,Tempe,AZ,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jingtao","family":"Li","sequence":"additional","affiliation":[{"name":"Sony AI,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Deliang","family":"Fan","sequence":"additional","affiliation":[{"name":"Arizona State University,Tempe,AZ,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chaitali","family":"Chakrabarti","sequence":"additional","affiliation":[{"name":"Arizona State University,Tempe,AZ,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2024.3373691"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.21203\/rs.3.rs-1005694\/v1"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3637528.3671582"},{"key":"ref4","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":"ref5","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2018.05.003"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i8.20825"},{"key":"ref7","first-page":"2021","article-title":"FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization","volume-title":"Artificial Intelligence and Statistics.","author":"Reisizadeh","year":"2020"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1045"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/SiPS52927.2021.00022"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/ISLPED.2019.8824955"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/GLOBECOM46510.2021.9685493"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/ICC45041.2023.10278891"},{"article-title":"Accelerating federated learning with split learning on locally generated losses","volume-title":"International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML (FL-ICML\u201921)","author":"Han","key":"ref13"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2023.3299851"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1145\/3636534.3690665"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155494"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TC.2021.3099723"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE60146.2024.00164"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/TMC.2024.3489642"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2025.3572393"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2023.3327372"},{"key":"ref23","first-page":"26311","article-title":"Federated learning with label distribution skew via logits calibration","volume-title":"Proceedings of the 39th International Conference on Machine Learning","volume":"162","author":"Zhang"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/ACPR.2015.7486599"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"}],"event":{"name":"2025 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED)","start":{"date-parts":[[2025,8,6]]},"location":"Reykjav\u00edk, Iceland","end":{"date-parts":[[2025,8,8]]}},"container-title":["2025 IEEE\/ACM International Symposium on Low Power Electronics and Design (ISLPED)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11261694\/11261695\/11261806.pdf?arnumber=11261806","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,4]],"date-time":"2025-12-04T08:43:10Z","timestamp":1764837790000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11261806\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,8,6]]},"references-count":25,"URL":"https:\/\/doi.org\/10.1109\/islped65674.2025.11261806","relation":{},"subject":[],"published":{"date-parts":[[2025,8,6]]}}}