{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T17:04:13Z","timestamp":1764695053222,"version":"3.46.0"},"publisher-location":"New York, NY, USA","reference-count":18,"publisher":"ACM","content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2025,11,4]]},"DOI":"10.1145\/3737899.3768520","type":"proceedings-article","created":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T17:01:43Z","timestamp":1764694903000},"page":"37-43","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["AROM: Control-Theoretic Learning for Resilient and Decentralized Edge Intelligence"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7413-0604","authenticated-orcid":false,"given":"Eunju","family":"Jeong","sequence":"first","affiliation":[{"name":"Electronics and Telecommunications Research Institute Daejeon, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1308-0172","authenticated-orcid":false,"given":"Dong-oh","family":"Kang","sequence":"additional","affiliation":[{"name":"Electronics and Telecommunications Research Institute Daejeon, Republic of Korea"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2025,12,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.48550\/arXiv.1812.06127"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","unstructured":"H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and. 2024. In number 1. Vol. 15. Nature Portfolio 10263. doi:10.1038\/s41467-024-54451-3.","DOI":"10.1038\/s41467-024-54451-3"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-024-54451-3"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/LRA.2022.3146082"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2020.2975134"},{"key":"e_1_3_2_1_6_1","volume-title":"Proceedings of the 31st International Conference on Neural Information Processing Systems (NeurIPS). Curran Associates, Inc., 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 (NeurIPS). Curran Associates, Inc., 5336--5346. https:\/\/papers.nips.cc\/paper_files\/paper\/2017\/file\/f4b9ec30ad9f68f89b29639786cb62ef-Paper.pdf."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1109\/TAC.2017.2662019"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2006.874516"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.5555\/1953048.2021068"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1109\/IIAI-AAI-Winter61682.2023.00073"},{"key":"e_1_3_2_1_11_1","volume-title":"Proceedings of the 3rd International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/1412","author":"Diederik","unstructured":"Diederik P. Kingma and Jimmy Ba. 2015. Adam: a method for stochastic optimization. In Proceedings of the 3rd International Conference on Learning Representations (ICLR). https:\/\/arxiv.org\/abs\/1412.6980."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-35289-8_26"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1137\/15M1009597"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1137\/17M1136845"},{"key":"e_1_3_2_1_15_1","first-page":"372","article-title":"A method for solving the convex programming problem with convergence rate O (1\/k2)","volume":"27","author":"Nesterov Yurii","year":"1983","unstructured":"Yurii Nesterov. 1983. A method for solving the convex programming problem with convergence rate O (1\/k2). Soviet Mathematics Doklady, 27, 2, 372--376.","journal-title":"Soviet Mathematics Doklady"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2021.3133410"},{"key":"e_1_3_2_1_17_1","unstructured":"Ahti Kalervo Juha Ylioinas Markus H\u00e4iki\u00f6 Antti Karhu and Juho Kannala. 2020. Cubicasa5k: a floorplan image dataset. https:\/\/cubicasa.com\/cubicasa5k\/. (2020)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1561\/2200000016"}],"event":{"name":"ACM MobiCom '25: The 31st Annual International Conference on Mobile Computing and Networking","location":"Hong Kong China","acronym":"FLEdge-AI '25","sponsor":["SIGMOBILE ACM Special Interest Group on Mobility of Systems, Users, Data and Computing"]},"container-title":["Proceedings of the Federated Learning and Edge AI for Privacy and Mobility"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3737899.3768520","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,12,2]],"date-time":"2025-12-02T17:01:59Z","timestamp":1764694919000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3737899.3768520"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,4]]},"references-count":18,"alternative-id":["10.1145\/3737899.3768520","10.1145\/3737899"],"URL":"https:\/\/doi.org\/10.1145\/3737899.3768520","relation":{},"subject":[],"published":{"date-parts":[[2025,11,4]]},"assertion":[{"value":"2025-12-02","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}