{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,21]],"date-time":"2026-02-21T19:05:33Z","timestamp":1771700733640,"version":"3.50.1"},"reference-count":41,"publisher":"IEEE","license":[{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,10,6]],"date-time":"2024-10-06T00:00:00Z","timestamp":1728172800000},"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":[[2024,10,6]]},"DOI":"10.1109\/dsaa61799.2024.10722785","type":"proceedings-article","created":{"date-parts":[[2024,10,24]],"date-time":"2024-10-24T17:23:54Z","timestamp":1729790634000},"page":"1-10","source":"Crossref","is-referenced-by-count":4,"title":["AddShare+: Efficient Selective Additive Secret Sharing Approach for Private Federated Learning"],"prefix":"10.1109","author":[{"given":"Bernard Atiemo","family":"Asare","sequence":"first","affiliation":[{"name":"EECS, University of Ottawa,Faculty of Engineering,Ottawa,ON,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Paula","family":"Branco","sequence":"additional","affiliation":[{"name":"EECS, University of Ottawa,Faculty of Engineering,Ottawa,ON,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iluju","family":"Kiringa","sequence":"additional","affiliation":[{"name":"EECS, University of Ottawa,Faculty of Engineering,Ottawa,ON,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tet","family":"Yeap","sequence":"additional","affiliation":[{"name":"EECS, University of Ottawa,Faculty of Engineering,Ottawa,ON,Canada"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","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","author":"McMahan","year":"2017"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/3298981"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"ref4","article-title":"iDLG: Improved Deep Leakage from Gradients","author":"Zhao","year":"2020","journal-title":"arXiv preprint"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TSC.2019.2897554"},{"key":"ref6","volume-title":"A fully homomorphic encryption scheme","author":"Gentry","year":"2009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.12"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-54204-6_18"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1145\/3589462.3589504"},{"key":"ref10","article-title":"SCOTCH: An Efficient Secure Computation Framework for Secure Aggregation","author":"Yash","year":"2022","journal-title":"arXiv preprint"},{"key":"ref11","article-title":"Learning to De-tect Malicious Clients for Robust Federated Learning","author":"Li","year":"2020","journal-title":"arXiv preprint"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i8.16849"},{"key":"ref13","first-page":"2938","article-title":"How to backdoor federated learning","volume-title":"International conference on artificial intelligence and statistics","author":"Bagdasaryan","year":"2020"},{"key":"ref14","article-title":"FastSecAgg: Scalable Secure Aggre-gation for Privacy-Preserving Federated Learning","author":"Swanand","year":"2020","journal-title":"arXiv preprint"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-5906-5_109"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1561\/0400000042"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1145\/3378679.3394533"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1145\/1536414.1536440"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1515\/popets-2018-0024"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3133982"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417885"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2023.122847"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i08.7021"},{"key":"ref24","article-title":"Split learning for health: Distributed deep learning without sharing raw patient data","author":"Vepakomma","year":"2018","journal-title":"arXiv preprint"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/CCGrid57682.2023.00038"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1016\/j.neucom.2021.07.045"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2023.3313055"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1145\/359340.359342"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/MSP.2012.2211477"},{"key":"ref30","author":"Xiao","year":"2017","journal-title":"Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms"},{"key":"ref31","article-title":"Learning multiple layers of features from tiny images","volume-title":"University of Toronto, Tech. Rep.","author":"Krizhevsky","year":"2009"},{"key":"ref32","article-title":"Reading Digits in Natural Images with Unsupervised Feature Learning","volume-title":"NIPS Workshop on Deep Learning and Unsupervised Feature Learning 2011","author":"Netzer","year":"2011"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1109\/5.726791"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/NaNA53684.2021.00062"},{"key":"ref35","article-title":"RFC2631: Diffie-Hellman Key Agreement Method","author":"Rescorla","year":"1999","journal-title":"RFC Editor"},{"issue":"11","key":"ref36","doi-asserted-by":"crossref","first-page":"612","DOI":"10.1145\/359168.359176","article-title":"How to share a secret","volume":"22","author":"Adi","year":"1979","journal-title":"Communications of the ACM"},{"key":"ref37","article-title":"Learning both weights and connections for efficient neural network","volume":"28","author":"Song","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref38","doi-asserted-by":"crossref","first-page":"122847","DOI":"10.1016\/j.eswa.2023.122847","article-title":"Model pruning enables localized and efficient federated learning for yield forecasting and data sharing","volume":"242","author":"Li","year":"2024","journal-title":"Expert Systems with Applications"},{"issue":"1989","key":"ref39","article-title":"Optimal Brain Damage","volume-title":"Advances in Neural Information Processing Systems","volume":"2","author":"Yann"},{"key":"ref40","article-title":"Deep compression: Compressing deep neural networks with pruning, trained quantization and huffman coding","author":"Song","year":"2015","journal-title":"arXiv preprint"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/JIOT.2020.3037194"}],"event":{"name":"2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)","location":"San Diego, CA, USA","start":{"date-parts":[[2024,10,6]]},"end":{"date-parts":[[2024,10,10]]}},"container-title":["2024 IEEE 11th International Conference on Data Science and Advanced Analytics (DSAA)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/10722027\/10722766\/10722785.pdf?arnumber=10722785","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,27]],"date-time":"2024-11-27T02:27:24Z","timestamp":1732674444000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10722785\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,6]]},"references-count":41,"URL":"https:\/\/doi.org\/10.1109\/dsaa61799.2024.10722785","relation":{},"subject":[],"published":{"date-parts":[[2024,10,6]]}}}