HybridAlpha

Author:

Xu Runhua1,Baracaldo Nathalie2,Zhou Yi2,Anwar Ali2,Ludwig Heiko2

Affiliation:

1. University of Pittsburgh, Pittsburgh, PA, USA

2. IBM Almaden Research Center, San Jose, CA, USA

Publisher

ACM Press

Reference40 articles.

1. Martin Abadi, Andy Chu, Ian Goodfellow, H Brendan McMahan, Ilya Mironov, Kunal Talwar, and Li Zhang. 2016. Deep learning with differential privacy. In Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security. ACM, ACM, Vienna, Austria, 308--318.

2. Michel Abdalla, Dario Catalano, Dario Fiore, Romain Gay, and Bogdan Ursu. 2018. Multi-input functional encryption for inner products: function-hiding realizations and constructions without pairings. In Annual International Cryptology Conference. Springer, Springer, 597--627.

3. Accountability Act. 1996. Health insurance portability and accountability act of 1996. Public law, Vol. 104 (1996), 191.

4. Joseph A. Akinyele, Christina Garman, Ian Miers, Matthew W. Pagano, Michael Rushanan, Matthew Green, and Aviel D. Rubin. 2013. Charm: a framework for rapidly prototyping cryptosystems. Journal of Cryptographic Engineering, Vol. 3, 2 (2013), 111--128. https://doi.org/10.1007/s13389-013-0057--3

5. Peter Bogetoft, Dan Lund Christensen, Ivan Damgård, Martin Geisler, Thomas Jakobsen, Mikkel Krøigaard, Janus Dam Nielsen, Jesper Buus Nielsen, Kurt Nielsen, Jakob Pagter, et almbox. 2009. Secure multiparty computation goes live. In International Conference on Financial Cryptography and Data Security. Springer, 325--343.

Cited by 132 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A review of privacy-preserving research on federated graph neural networks;Neurocomputing;2024-10

2. Device Scheduling for Secure Aggregation in Wireless Federated Learning;IEEE Internet of Things Journal;2024-09-01

3. TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning;IEEE Transactions on Dependable and Secure Computing;2024-09

4. Batch-Aggregate: Efficient Aggregation for Private Federated Learning in VANETs;IEEE Transactions on Dependable and Secure Computing;2024-09

5. Leveraging local data sampling strategies to improve federated learning;International Journal of Data Science and Analytics;2024-08-29

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3