{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,24]],"date-time":"2025-12-24T12:19:26Z","timestamp":1766578766042,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":11,"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"}],"funder":[{"name":"MCIN\/AEI\/10.13039\/501100011033","award":["PID2020-113795RB-C33"],"award-info":[{"award-number":["PID2020-113795RB-C33"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,24]]},"DOI":"10.1145\/3551663.3558682","type":"proceedings-article","created":{"date-parts":[[2022,10,19]],"date-time":"2022-10-19T22:06:16Z","timestamp":1666217176000},"page":"33-39","source":"Crossref","is-referenced-by-count":4,"title":["Using Decentralized Aggregation for Federated Learning with Differential Privacy"],"prefix":"10.1145","author":[{"given":"Hadeel","family":"Abd El-Kareem Abd El-Moaty Saleh","sequence":"first","affiliation":[{"name":"Arab Academy for Sciencie, Technology &amp; Maritime Transport, Cairo, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ana","family":"Fern\u00e1ndez Vilas","sequence":"additional","affiliation":[{"name":"Universidade de Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manuel","family":"Fern\u00e1ndez-Veiga","sequence":"additional","affiliation":[{"name":"Universidade de Vigo, Vigo, Spain"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yasser","family":"El-Sonbaty","sequence":"additional","affiliation":[{"name":"Arab Academy for Sciencie, Technology &amp; Maritime Transport, Cairo, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Nashwa","family":"El-Bendary","sequence":"additional","affiliation":[{"name":"Arab Academy for Sciencie, Technology &amp; Maritime Transport, Cairo, Egypt"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2022,10,24]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1177\/1550147720919698"},{"key":"e_1_3_2_1_3_1","volume-title":"Differential privacy-enabled federated learning for sensitive health data. arXiv preprint arXiv:1910.02578","author":"Choudhury Olivia","year":"2019","unstructured":"Olivia Choudhury , Aris Gkoulalas-Divanis , Theodoros Salonidis , Issa Sylla , Yoonyoung Park , Grace Hsu , and Amar Das . 2019. Differential privacy-enabled federated learning for sensitive health data. arXiv preprint arXiv:1910.02578 ( 2019 ). Olivia Choudhury, Aris Gkoulalas-Divanis, Theodoros Salonidis, Issa Sylla, Yoonyoung Park, Grace Hsu, and Amar Das. 2019. Differential privacy-enabled federated learning for sensitive health data. arXiv preprint arXiv:1910.02578 (2019)."},{"key":"e_1_3_2_1_4_1","volume-title":"Foundations and Trends\u00ae in Theoretical Computer Science","volume":"9","author":"Dwork Cynthia","year":"2014","unstructured":"Cynthia Dwork and Aaron Roth . 2014 . The algorithmic foundations of differential privacy . Foundations and Trends\u00ae in Theoretical Computer Science , Vol. 9 , 3--4 (2014), 211--407. Cynthia Dwork and Aaron Roth. 2014. The algorithmic foundations of differential privacy. Foundations and Trends\u00ae in Theoretical Computer Science, Vol. 9, 3--4 (2014), 211--407."},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2021.3057419"},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2020.102061"},{"key":"e_1_3_2_1_7_1","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 Artificial intelligence and statistics. PMLR 1273--1282.  Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Aguera y Arcas. 2017. Communication-efficient learning of deep networks from decentralized data. In Artificial intelligence and statistics. PMLR 1273--1282."},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2020.2988575"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2021.106775"},{"key":"e_1_3_2_1_10_1","volume-title":"Zhiwei Steven Wu, and Jinfeng Yi","author":"Zhang Xinwei","year":"2021","unstructured":"Xinwei Zhang , Xiangyi Chen , Mingyi Hong , Zhiwei Steven Wu, and Jinfeng Yi . 2021 a. Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy . arXiv preprint arXiv:2106.13673 (2021). Xinwei Zhang, Xiangyi Chen, Mingyi Hong, Zhiwei Steven Wu, and Jinfeng Yi. 2021a. Understanding Clipping for Federated Learning: Convergence and Client-Level Differential Privacy. arXiv preprint arXiv:2106.13673 (2021)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1155\/2021\/3344862"}],"event":{"name":"MSWiM '22: Int'l ACM Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems","sponsor":["SIGSIM ACM Special Interest Group on Simulation and Modeling"],"location":"Montreal Quebec Canada","acronym":"MSWiM '22"},"container-title":["Proceedings of the 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &amp; Ubiquitous Networks on 19th ACM International Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, &amp; Ubiquitous Networks"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551663.3558682","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3551663.3558682","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T17:49:00Z","timestamp":1750182540000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3551663.3558682"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,24]]},"references-count":11,"alternative-id":["10.1145\/3551663.3558682","10.1145\/3551663"],"URL":"https:\/\/doi.org\/10.1145\/3551663.3558682","relation":{},"subject":[],"published":{"date-parts":[[2022,10,24]]}}}