{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T02:34:11Z","timestamp":1778726051748,"version":"3.51.4"},"publisher-location":"New York, NY, USA","reference-count":12,"publisher":"ACM","funder":[{"name":"Nordic University Cooperation on Edge Intelligence","award":["168043"],"award-info":[{"award-number":["168043"]}]},{"name":"Finnish Foundation for Technology Promotion"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,9,8]]},"DOI":"10.1145\/3744969.3748418","type":"proceedings-article","created":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T19:14:48Z","timestamp":1757531688000},"page":"52-54","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Federated Inference: Towards Collaborative and Privacy-Preserving Inference over Edge Devices"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0790-6035","authenticated-orcid":false,"given":"Boyu","family":"Fan","sequence":"first","affiliation":[{"name":"University of Helsinki, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5945-9551","authenticated-orcid":false,"given":"Xiang","family":"Su","sequence":"additional","affiliation":[{"name":"University of Helsinki, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4220-3650","authenticated-orcid":false,"given":"Sasu","family":"Tarkoma","sequence":"additional","affiliation":[{"name":"University of Helsinki, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6026-1083","authenticated-orcid":false,"given":"Pan","family":"Hui","sequence":"additional","affiliation":[{"name":"Hong Kong University of Science and Technology (Guangzhou), China and University of Helsinki, Finland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,9,10]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Alexander Borzunov Max Ryabinin Artem Chumachenko Dmitry Baranchuk Tim Dettmers Younes Belkada Pavel Samygin and Colin Raffel. 2023. Distributed Inference and Fine-tuning of Large Language Models Over The Internet. arXiv:2312.08361 [cs.LG]","DOI":"10.18653\/v1\/2023.acl-demo.54"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1145\/3651890.3672261"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3723877"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1145\/3037697.3037698"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research","volume":"1282","author":"McMahan Brendan","year":"2017","unstructured":"Brendan McMahan, Eider Moore, Daniel Ramage, Seth Hampson, and Blaise Aguera y Arcas. 2017. Communication-Efficient Learning of Deep Networks from Decentralized Data. In Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (Proceedings of Machine Learning Research, Vol. 54).PMLR, 1273--1282."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2022.3226481"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2022.3233783"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1145\/3636534.3690705"},{"key":"e_1_3_2_1_10_1","volume-title":"Obaidat","author":"Wang Xiaojie","year":"2023","unstructured":"Xiaojie Wang, Jiameng Li, Zhaolong Ning, Qingyang Song, Lei Guo, Song Guo, and Mohammad S. Obaidat. 2023. Wireless Powered Mobile Edge Computing Networks: A Survey. ACM Comput. Surv. 55, 13s, Article 263 (July 2023), 37 pages."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/JPROC.2021.3119950"},{"key":"e_1_3_2_1_12_1","volume-title":"Advances in Neural Information Processing Systems","volume":"36","author":"Yang Xiyuan","year":"2023","unstructured":"Xiyuan Yang, Wenke Huang, and Mang Ye. 2023. Dynamic Personalized Federated Learning with Adaptive Differential Privacy. In Advances in Neural Information Processing Systems, Vol. 36. Curran Associates, Inc., 72181--72192."}],"event":{"name":"SIGCOMM '25: ACM SIGCOMM 2025 Conference","location":"Coimbra Portugal","acronym":"SIGCOMM '25","sponsor":["SIGCOMM ACM Special Interest Group on Data Communication"]},"container-title":["Proceedings of the ACM SIGCOMM 2025 Posters and Demos"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3744969.3748418","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,14]],"date-time":"2025-10-14T18:28:56Z","timestamp":1760466536000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3744969.3748418"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,9,8]]},"references-count":12,"alternative-id":["10.1145\/3744969.3748418","10.1145\/3744969"],"URL":"https:\/\/doi.org\/10.1145\/3744969.3748418","relation":{},"subject":[],"published":{"date-parts":[[2025,9,8]]},"assertion":[{"value":"2025-09-10","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}