{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,14]],"date-time":"2026-02-14T14:24:44Z","timestamp":1771079084626,"version":"3.50.1"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8]]},"abstract":"<jats:p>Federated Edge Learning (FEL) is a distributed Machine Learning (ML) framework for collaborative training on edge devices. FEL improves data privacy over traditional centralized ML model training by keeping data on the devices and only sending local model updates to a central coordinator for aggregation. However, challenges still remain in existing FEL architectures where there is high communication overhead between edge devices and the coordinator. In this paper, we present a working prototype of blockchain-empowered and communication-efficient FEL framework, which enhances the security and scalability towards large-scale implementation of FEL.<\/jats:p>","DOI":"10.24963\/ijcai.2021\/720","type":"proceedings-article","created":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T07:00:49Z","timestamp":1628665249000},"page":"5032-5035","source":"Crossref","is-referenced-by-count":12,"title":["Communication-efficient and Scalable Decentralized  Federated Edge Learning"],"prefix":"10.24963","author":[{"given":"Austine Zong Han","family":"Yapp","sequence":"first","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong Soo Nicholas","family":"Koh","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan Ting","family":"Lai","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiawen","family":"Kang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuandi","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jer Shyuan","family":"Ng","sequence":"additional","affiliation":[{"name":"Alibaba-NTU Singapore Joint Research Institute (JRI), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hongchao","family":"Jiang","sequence":"additional","affiliation":[{"name":"Alibaba-NTU Singapore Joint Research Institute (JRI), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei Yang Bryan","family":"Lim","sequence":"additional","affiliation":[{"name":"Alibaba-NTU Singapore Joint Research Institute (JRI), Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zehui","family":"Xiong","sequence":"additional","affiliation":[{"name":"Singapore University of Technology and Design (SUTD), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dusit","family":"Niyato","sequence":"additional","affiliation":[{"name":"School of Computer Science and Engineering, Nanyang Technological University (NTU), Singapore"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"10584","event":{"name":"Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}","theme":"Artificial Intelligence","location":"Montreal, Canada","acronym":"IJCAI-2021","number":"30","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2021,8,19]]},"end":{"date-parts":[[2021,8,27]]}},"container-title":["Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2021,8,11]],"date-time":"2021-08-11T07:04:52Z","timestamp":1628665492000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2021\/720"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2021,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2021\/720","relation":{},"subject":[],"published":{"date-parts":[[2021,8]]}}}