{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,24]],"date-time":"2025-10-24T08:31:59Z","timestamp":1761294719051,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,29]],"date-time":"2023-10-29T00:00:00Z","timestamp":1698537600000},"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":[[2023,10,29]]},"DOI":"10.1109\/ieeeconf59524.2023.10476874","type":"proceedings-article","created":{"date-parts":[[2024,4,1]],"date-time":"2024-04-01T19:28:52Z","timestamp":1711999732000},"page":"704-708","source":"Crossref","is-referenced-by-count":1,"title":["Privacy-Preserving Clustered Peer-to-Peer Learning"],"prefix":"10.1109","author":[{"given":"Xue","family":"Zheng","sequence":"first","affiliation":[{"name":"The Ohio State University,INSPIRE@OhioState,Department of Electrical and Computer Engineering,Columbus,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aylin","family":"Yener","sequence":"additional","affiliation":[{"name":"The Ohio State University,INSPIRE@OhioState,Department of Electrical and Computer Engineering,Columbus,OH,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","first-page":"1273","article-title":"Communication-efficient learning of deep networks from decentralized data","author":"McMahan","year":"2017","journal-title":"Artificial intelligence and statistics"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/SRDS55811.2022.00012"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1145\/3591354"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.2478\/popets-2020-0080"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1145\/359168.359176"},{"journal-title":"A general approach to adding differential privacy to iterative training procedures","author":"McMahan","key":"ref6"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"ref8","article-title":"Learning differentially private recurrent language models","volume-title":"International Conference on Learning Representations","author":"McMahan","year":"2017"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref10","article-title":"The skellam mechanism for differentially private federated learning","author":"Agarwal","year":"2021","journal-title":"Neural Information Processing Systems"},{"key":"ref11","volume":"abs\/2109.08119","author":"Cho","year":"2021","journal-title":"Personalized federated learning for heterogeneous clients with clustered knowledge transfer"},{"key":"ref12","article-title":"Does knowledge distillation really work?","author":"Stanton","year":"2021","journal-title":"Neural Information Processing Systems"},{"key":"ref13","first-page":"682","article-title":"Secure federated clustering","volume":"2022","author":"Li","year":"2022","journal-title":"IACR Cryptol. ePrint Arch."},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/TIT.2022.3192506"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/ijcnn.2017.7966217"},{"journal-title":"Learning multiple layers of features from tiny images","year":"2009","author":"Krizhevsky","key":"ref16"}],"event":{"name":"2023 57th Asilomar Conference on Signals, Systems, and Computers","start":{"date-parts":[[2023,10,29]]},"location":"Pacific Grove, CA, USA","end":{"date-parts":[[2023,11,1]]}},"container-title":["2023 57th Asilomar Conference on Signals, Systems, and Computers"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10476702\/10476779\/10476874.pdf?arnumber=10476874","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,2]],"date-time":"2024-04-02T05:08:03Z","timestamp":1712034483000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10476874\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,29]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/ieeeconf59524.2023.10476874","relation":{},"subject":[],"published":{"date-parts":[[2023,10,29]]}}}