{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,30]],"date-time":"2026-06-30T15:38:35Z","timestamp":1782833915215,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":34,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T00:00:00Z","timestamp":1727740800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-2106294"],"award-info":[{"award-number":["CNS-2106294"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100000001","name":"National Science Foundation","doi-asserted-by":"publisher","award":["CNS-1946022"],"award-info":[{"award-number":["CNS-1946022"]}],"id":[{"id":"10.13039\/100000001","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,14]]},"DOI":"10.1145\/3641512.3686364","type":"proceedings-article","created":{"date-parts":[[2024,10,1]],"date-time":"2024-10-01T21:11:22Z","timestamp":1727817082000},"page":"121-130","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":5,"title":["Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1727-6754","authenticated-orcid":false,"given":"Yudi","family":"Huang","sequence":"first","affiliation":[{"name":"Pennsylvania State University, University Park, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-8521-8994","authenticated-orcid":false,"given":"Tingyang","family":"Sun","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, University Park, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1070-7483","authenticated-orcid":false,"given":"Ting","family":"He","sequence":"additional","affiliation":[{"name":"Pennsylvania State University, University Park, United States of America"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10]]},"reference":[{"key":"e_1_3_2_1_1_1","unstructured":"3GPP. 2018. NR; Study on integrated access and backhaul. TR 38.874. https:\/\/portal.3gpp.org\/desktopmodules\/Specifications\/SpecificationDetails.aspx?specificationId=3232"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Daniel Aguayo John Bicket Sanjit Biswas Glenn Judd and Robert Morris. 2004. Link-level Measurements from an 802.11b Mesh Network. In SIGCOMM.","DOI":"10.1145\/1015467.1015482"},{"key":"e_1_3_2_1_3_1","unstructured":"Jingrong Chen Hong Zhang Wei Zhang Liang Luo Jeffrey Chase Ion Stoica and Danyang Zhuo. 2022. NetHint: White-Box Networking for Multi-Tenant Data Centers. In USENIX NSDI. 1327--1343."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TWC.2022.3168538"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2023.3242735"},{"key":"e_1_3_2_1_6_1","volume-title":"Growing Well-connected Graphs. In IEEE Conference on Decision and Control. 6605--6611","author":"Ghosh Arpita","year":"2006","unstructured":"Arpita Ghosh and Stephen Boyd. 2006. Growing Well-connected Graphs. In IEEE Conference on Decision and Control. 6605--6611."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1002\/net.3230230104"},{"key":"e_1_3_2_1_8_1","unstructured":"Zhidong He. 2019. Optimization of convergence rate via algebraic connectivity. arXiv:1912.06536 [math.OC]"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1137\/21M1465081"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3565287.3610274"},{"key":"e_1_3_2_1_11_1","unstructured":"Yudi Huang and Ting He. 2024. Overlay Routing Over an Uncooperative Underlay. https:\/\/pennstateoffice365-my.sharepoint.com\/:b:\/g\/personal\/tzh58_psu_edu\/ESv6_HUIDMdImHnCunvJdQwBv0KV7VxuI6sqG3NSbGuCfw?e=dIZ13s"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Yudi Huang Tingyang Sun and Ting He. 2024. Overlay-based Decentralized Federated Learning in Bandwidth-limited Networks. arXiv:2408.04705 [cs.LG] https:\/\/arxiv.org\/abs\/2408.04705","DOI":"10.1145\/3641512.3686364"},{"key":"e_1_3_2_1_13_1","volume-title":"Dispatching and Control Information Freshness-Aware Federated Learning for Simplified Power IoT","author":"Jia Zehan","unstructured":"Zehan Jia, Ziqi Yu, Haijun Liao, Zhao Wang, Zhenyu Zhou, Xiaoyan Wang, Guoqing He, Shahid Mumtaz, and Mohsen Guizani. 2022. Dispatching and Control Information Freshness-Aware Federated Learning for Simplified Power IoT. In GLOBECOM. IEEE, 1097--1102."},{"key":"e_1_3_2_1_14_1","volume-title":"Swati Padmanabhan, and Zhao Song.","author":"Jiang Haotian","year":"2020","unstructured":"Haotian Jiang, Tarun Kathuria, Yin Tat Lee, Swati Padmanabhan, and Zhao Song. 2020. A faster interior point method for semidefinite programming. In IEEE FOCS. IEEE, 910--918."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPDS.2023.3303967"},{"key":"e_1_3_2_1_16_1","unstructured":"Peter Kairouz et al. 2021. Advances and Open Problems in Federated Learning. Now Foundations and Trends."},{"key":"e_1_3_2_1_17_1","volume-title":"Decentralized Deep Learning with Arbitrary Communication Compression. In The International Conference on Learning Representations (ICLR).","author":"Koloskova Anastasia","year":"2020","unstructured":"Anastasia Koloskova, Tao Lin, Sebastian U Stich, and Martin Jagg. 2020. Decentralized Deep Learning with Arbitrary Communication Compression. In The International Conference on Learning Representations (ICLR)."},{"key":"e_1_3_2_1_18_1","unstructured":"Anastasia Koloskova Nicolas Loizou Sadra Boreiri Martin Jaggi and Sebastian Stich. 2020. A Unified Theory of Decentralized SGD with Changing Topology and Local Updates. In ICML."},{"key":"e_1_3_2_1_19_1","volume-title":"International Conference on Artificial Intelligence and Statistics. PMLR, 1672--1702","author":"Bars Batiste Le","year":"2023","unstructured":"Batiste Le Bars, Aur\u00e9lien Bellet, Marc Tommasi, Erick Lavoie, and Anne-Marie Kermarrec. 2023. Refined convergence and topology learning for decentralized SGD with heterogeneous data. In International Conference on Artificial Intelligence and Statistics. PMLR, 1672--1702."},{"key":"e_1_3_2_1_20_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems. 5336--5346","author":"Lian Xiangru","year":"2017","unstructured":"Xiangru Lian, Ce Zhang, Huan Zhang, Cho-Jui Hsieh, Wei Zhang, and Ji Liu. 2017. Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent. In Proceedings of the 31st International Conference on Neural Information Processing Systems. 5336--5346."},{"key":"e_1_3_2_1_21_1","volume-title":"Optimal Complexity in Decentralized Training. In International Conference on Machine Learning(ICML).","author":"Lu Yucheng","year":"2021","unstructured":"Yucheng Lu and Christopher De Sa. 2021. Optimal Complexity in Decentralized Training. In International Conference on Machine Learning(ICML)."},{"key":"e_1_3_2_1_22_1","volume-title":"Mixed-integer convex optimization: Outer approximation algorithms and modeling power. Ph. D. Dissertation","author":"Lubin Miles","unstructured":"Miles Lubin. 2017. Mixed-integer convex optimization: Outer approximation algorithms and modeling power. Ph. D. Dissertation. Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center."},{"key":"e_1_3_2_1_23_1","first-page":"82","article-title":"PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud","volume":"2","author":"Luo Liang","year":"2020","unstructured":"Liang Luo, Peter West, Jacob Nelson, Arvind Krishnamurthy, and Luis Ceze. 2020. PLink: Discovering and Exploiting Locality for Accelerated Distributed Training on the public Cloud. In Proceedings of Machine Learning and Systems, Vol. 2. 82--97.","journal-title":"Proceedings of Machine Learning and Systems"},{"key":"e_1_3_2_1_24_1","first-page":"19478","article-title":"Throughput-optimal topology design for cross-silo federated learning","volume":"33","author":"Marfoq Othmane","year":"2020","unstructured":"Othmane Marfoq, Chuan Xu, Giovanni Neglia, and Richard Vidal. 2020. Throughput-optimal topology design for cross-silo federated learning. Advances in Neural Information Processing Systems 33 (2020), 19478--19487.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_25_1","unstructured":"H. McMahan Eider Moore D. Ramage S. Hampson and Blaise Ag\u00fcera y Arcas. 2017. Communication-Efficient Learning of Deep Networks from Decentralized Data. In AISTATS."},{"key":"e_1_3_2_1_26_1","volume-title":"International Conference on Artificial Intelligence and Statistics. PMLR, 2348--2358","author":"Neglia Giovanni","year":"2020","unstructured":"Giovanni Neglia, Chuan Xu, Don Towsley, and Gianmarco Calbi. 2020. Decentralized gradient methods: does topology matter?. In International Conference on Artificial Intelligence and Statistics. PMLR, 2348--2358."},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.001.2200127"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/IOTM.006.2100216"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Henrik Ronkainen Jonas Edstam Anders Ericsson and Christer \u00d6stberg. 2020. Integrated access and backhaul - a new type of wireless backhaul in 5G. Ericsson Technology Review. https:\/\/www.ericsson.com\/4ac691\/assets\/local\/reports-papers\/ericsson-technology-review\/docs\/2020\/introducing-integrated-access-and-backhaul.pdf","DOI":"10.23919\/ETR.2020.9905510"},{"key":"e_1_3_2_1_30_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2022.3145576"},{"key":"e_1_3_2_1_31_1","first-page":"15039","article-title":"Beyond spectral gap: The role of the topology in decentralized learning","volume":"35","author":"Vogels Thijs","year":"2022","unstructured":"Thijs Vogels, Hadrien Hendrikx, and Martin Jaggi. 2022. Beyond spectral gap: The role of the topology in decentralized learning. Advances in Neural Information Processing Systems 35 (2022), 15039--15050.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSP.2022.3212536"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2019.2904348"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/JSAC.2021.3118400"}],"event":{"name":"MobiHoc '24: Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing","location":"Athens Greece","acronym":"MobiHoc '24","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the Twenty-fifth International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3641512.3686364","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3641512.3686364","content-type":"application\/pdf","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3641512.3686364","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T00:03:23Z","timestamp":1750291403000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3641512.3686364"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10]]},"references-count":34,"alternative-id":["10.1145\/3641512.3686364","10.1145\/3641512"],"URL":"https:\/\/doi.org\/10.1145\/3641512.3686364","relation":{},"subject":[],"published":{"date-parts":[[2024,10]]},"assertion":[{"value":"2024-10-01","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}