{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,27]],"date-time":"2026-01-27T23:09:22Z","timestamp":1769555362325,"version":"3.49.0"},"reference-count":14,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,12,15]],"date-time":"2024-12-15T00:00:00Z","timestamp":1734220800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,12,15]]},"DOI":"10.1109\/bigdata62323.2024.10825895","type":"proceedings-article","created":{"date-parts":[[2025,1,16]],"date-time":"2025-01-16T18:31:23Z","timestamp":1737052283000},"page":"7085-7094","source":"Crossref","is-referenced-by-count":4,"title":["Federated Learning on Recommender Systems"],"prefix":"10.1109","author":[{"given":"Ketan","family":"Malempati","sequence":"first","affiliation":[{"name":"San José State University (SJSU),Computer Engineering Department,San José,CA,USA"}]},{"given":"Pruthvi Raj","family":"Kotigari","sequence":"additional","affiliation":[{"name":"San José State University (SJSU),Computer Engineering Department,San José,CA,USA"}]},{"given":"Sai Teja","family":"Kandukuri","sequence":"additional","affiliation":[{"name":"San José State University (SJSU),Computer Engineering Department,San José,CA,USA"}]},{"given":"Magdalini","family":"Eirinaki","sequence":"additional","affiliation":[{"name":"San José State University (SJSU),Computer Engineering Department,San José,CA,USA"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/11787006_1"},{"key":"ref3","first-page":"79","volume-title":"Advancements of Federated Learning Towards Privacy Preservation: From Federated Learning to Split Learning","author":"Thapa","year":"2021"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/ICMLA52953.2021.00187"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2022.3218655"},{"issue":"1","key":"ref6","first-page":"311","article-title":"What\u2019s in a name? understanding the interplay between titles, content, and communities in social media","volume-title":"Proceedings of the International AAAI Conference on Web and Social Media","volume":"7","author":"Lakkaraju"},{"key":"ref7","article-title":"The million song dataset","volume-title":"Proceedings of the 12th International Conference on Music Information Retrieval (ISMIR 2011)","author":"Bertin-Mahieux"},{"key":"ref8","first-page":"1273","article-title":"Communication-Efficient Learning of Deep Networks from Decentralized Data","volume-title":"Proceedings of the 20th International Conference on Artificial Intelligence and Statistics","volume":"54","author":"McMahan"},{"key":"ref9","volume-title":"Federated learning: Strategies for improving communication efficiency","volume":"abs\/1610.05492","author":"Konecn\u00fd","year":"2016"},{"key":"ref10","volume-title":"Federated learning for mobile keyboard prediction","volume":"abs\/1811.03604","author":"Hard","year":"2018"},{"key":"ref11","first-page":"157","article-title":"FedNLP: Benchmarking federated learning methods for natural language processing tasks","volume-title":"Findings of the Association for Computational Linguistics: NAACL 2022","author":"Lin"},{"key":"ref12","first-page":"513","article-title":"A survey on federated learning: challenges and applications","volume-title":"International Journal of Machine Learning and Cybernetics","volume":"14","author":"Wen","year":"2022"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1016\/j.cose.2024.103715"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CLOUD55607.2022.00065"}],"event":{"name":"2024 IEEE International Conference on Big Data (BigData)","location":"Washington, DC, USA","start":{"date-parts":[[2024,12,15]]},"end":{"date-parts":[[2024,12,18]]}},"container-title":["2024 IEEE International Conference on Big Data (BigData)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10824975\/10824942\/10825895.pdf?arnumber=10825895","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,1,17]],"date-time":"2025-01-17T08:30:47Z","timestamp":1737102647000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10825895\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,12,15]]},"references-count":14,"URL":"https:\/\/doi.org\/10.1109\/bigdata62323.2024.10825895","relation":{},"subject":[],"published":{"date-parts":[[2024,12,15]]}}}