{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T06:52:06Z","timestamp":1774680726808,"version":"3.50.1"},"reference-count":7,"publisher":"IEEE","license":[{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,2,3]],"date-time":"2026-02-03T00:00:00Z","timestamp":1770076800000},"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":[[2026,2,3]]},"DOI":"10.1109\/icce67443.2026.11449705","type":"proceedings-article","created":{"date-parts":[[2026,3,27]],"date-time":"2026-03-27T19:47:50Z","timestamp":1774640870000},"page":"1-2","source":"Crossref","is-referenced-by-count":0,"title":["Optimizing Homomorphic Encryption in Federated Learning with Zero-Skipping"],"prefix":"10.1109","author":[{"given":"Yoo-Bin","family":"Tae","sequence":"first","affiliation":[{"name":"Hankuk University of Foreign Studies,Division of Computer Engineering,Yongin,Korea"}]},{"given":"Soo-Jeong","family":"Park","sequence":"additional","affiliation":[{"name":"Hankuk University of Foreign Studies,Division of Computer Engineering,Yongin,Korea"}]},{"given":"Geon-Ha","family":"Kim","sequence":"additional","affiliation":[{"name":"Hankuk University of Foreign Studies,Division of Computer Engineering,Yongin,Korea"}]},{"given":"Seung-Ho","family":"Lim","sequence":"additional","affiliation":[{"name":"Hankuk University of Foreign Studies,Division of Computer Engineering,Yongin,Korea"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Federated optimization: Distributed machine learning for on-device intelligence","author":"Kone\u010dn\u00fd","year":"2016"},{"key":"ref2","doi-asserted-by":"crossref","DOI":"10.1007\/978-3-030-63076-8_2","article-title":"Deep leakage from gradients","volume-title":"Proc. Advances in Neural Information Processing Systems (NeurIPS)","author":"Zhu"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1007\/3-540-48910-X_16"},{"key":"ref4","first-page":"493","article-title":"BatchCrypt: Efficient homomorphic encryption for cross-silo federated learning","volume-title":"Proc. USENIX Annual Technical Conference (USENIX ATC)","author":"Zhang"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TETC.2024.3356068"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3186739"},{"key":"ref7","first-page":"1097","article-title":"ImageNet classification with deep convolutional neural networks","volume-title":"Proc. Advances in Neural Information Processing Systems (NeurIPS)","author":"Krizhevsky"}],"event":{"name":"2026 IEEE International Conference on Consumer Electronics (ICCE)","location":"Dubai, United Arab Emirates","start":{"date-parts":[[2026,2,3]]},"end":{"date-parts":[[2026,2,5]]}},"container-title":["2026 IEEE International Conference on Consumer Electronics (ICCE)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/11449575\/11449585\/11449705.pdf?arnumber=11449705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T05:28:53Z","timestamp":1774675733000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/11449705\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2,3]]},"references-count":7,"URL":"https:\/\/doi.org\/10.1109\/icce67443.2026.11449705","relation":{},"subject":[],"published":{"date-parts":[[2026,2,3]]}}}