{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,13]],"date-time":"2026-06-13T17:10:51Z","timestamp":1781370651126,"version":"3.54.1"},"publisher-location":"New York, NY, USA","reference-count":13,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,10,24]],"date-time":"2022-10-24T00:00:00Z","timestamp":1666569600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,10,24]]},"DOI":"10.1145\/3551659.3559062","type":"proceedings-article","created":{"date-parts":[[2022,10,18]],"date-time":"2022-10-18T23:42:32Z","timestamp":1666136552000},"page":"33-37","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Energy-Constrained D2D Assisted Federated Learning in Edge Computing"],"prefix":"10.1145","author":[{"given":"Yuchen","family":"Li","sequence":"first","affiliation":[{"name":"The Australian National University, Canberra, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Weifa","family":"Liang","sequence":"additional","affiliation":[{"name":"City University of Hong Kong, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Li","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiuzhen","family":"Cheng","sequence":"additional","affiliation":[{"name":"Shandong University, Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongxiao","family":"Yu","sequence":"additional","affiliation":[{"name":"Shandong University, Qingdao, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Albert Y.","family":"Zomaya","sequence":"additional","affiliation":[{"name":"The University of Sydney, Sydney, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Song","family":"Guo","sequence":"additional","affiliation":[{"name":"The Hong Kong Polytechnic University, Hong Kong, Hong Kong"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2022,10,24]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2020.3024629"},{"key":"e_1_3_2_1_2_1","volume-title":"Client selection in federated learning: Convergence analysis and power-of-choice selection strategies. arXiv preprint arXiv:2010.01243","author":"Cho Yae Jee","year":"2020","unstructured":"Yae Jee Cho, Jianyu Wang, and Gauri Joshi. 2020. Client selection in federated learning: Convergence analysis and power-of-choice selection strategies. arXiv preprint arXiv:2010.01243 (2020)."},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNET.2020.3035770"},{"key":"e_1_3_2_1_4_1","first-page":"55","article-title":"Maximum matching and a polyhedron with 0, 1-vertices","volume":"69","author":"Edmonds Jack","year":"1965","unstructured":"Jack Edmonds. 1965. Maximum matching and a polyhedron with 0, 1-vertices. Journal of research of the National Bureau of Standards B, Vol. 69 (1965), 55--56.","journal-title":"Journal of research of the National Bureau of Standards B"},{"key":"e_1_3_2_1_5_1","volume-title":"Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data. arXiv preprint arXiv:2008.06180","author":"Itahara Sohei","year":"2020","unstructured":"Sohei Itahara, Takayuki Nishio, Yusuke Koda, Masahiro Morikura, and Koji Yamamoto. 2020. Distillation-based semi-supervised federated learning for communication-efficient collaborative training with non-iid private data. arXiv preprint arXiv:2008.06180 (2020)."},{"key":"e_1_3_2_1_6_1","volume-title":"Gradient-based learning applied to document recognition. Proc","author":"LeCun Yann","year":"1998","unstructured":"Yann LeCun, L\u00e9on Bottou, Yoshua Bengio, and Patrick Haffner. 1998. Gradient-based learning applied to document recognition. Proc. IEEE, Vol. 86, 11 (1998)."},{"key":"e_1_3_2_1_7_1","volume-title":"Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism","author":"Li Jing","year":"2021","unstructured":"Jing Li, Weifa Liang, Yuchen Li, Zichuan Xu, Xiaohua Jia, and Song Guo. 2021. Throughput Maximization of Delay-Aware DNN Inference in Edge Computing by Exploring DNN Model Partitioning and Inference Parallelism. IEEE Transactions on Mobile Computing (2021)."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOMWKSHPS50562.2020.9162853"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICC40277.2020.9148853"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/INFOCOM41043.2020.9155372"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2019.2926279"},{"key":"e_1_3_2_1_13_1","volume-title":"Adaptive federated learning on Non-IID data with resource constraint","author":"Zhang Jie","year":"2021","unstructured":"Jie Zhang, Song Guo, Zhihao Qu, Deze Zeng, Yufeng Zhan, Qifeng Liu, and Rajendra A Akerkar. 2021. Adaptive federated learning on Non-IID data with resource constraint. IEEE Trans. Comput. (2021)."}],"event":{"name":"MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","location":"Montreal Quebec Canada","acronym":"MSWiM '22","sponsor":["SIGSIM ACM Special Interest Group on Simulation and Modeling"]},"container-title":["Proceedings of the 25th International ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551659.3559062","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3551659.3559062","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,11]],"date-time":"2026-03-11T19:03:26Z","timestamp":1773255806000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551659.3559062"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,24]]},"references-count":13,"alternative-id":["10.1145\/3551659.3559062","10.1145\/3551659"],"URL":"https:\/\/doi.org\/10.1145\/3551659.3559062","relation":{},"subject":[],"published":{"date-parts":[[2022,10,24]]},"assertion":[{"value":"2022-10-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}