Falkor: Federated Learning Secure Aggregation Powered by AESCTR GPU Implementation-Reference-Cited by-同舟云学术

Falkor: Federated Learning Secure Aggregation Powered by AESCTR GPU Implementation

Published:2023-11-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th Workshop on Encrypted Computing & Applied Homomorphic Cryptography
language:
Short-container-title:

Author:

Georgieva Belorgey Mariya¹^ORCID,Dandjee Sofia²^ORCID,Gama Nicolas³^ORCID,Jetchev Dimitar⁴^ORCID,Mikushin Dmitry⁵^ORCID

Affiliation:

1. Inpher, Paris, France

2. Netlight, Zurich, Switzerland

3. SandboxAQ, Lausanne, Switzerland

4. Inpher, Lausanne, Switzerland

5. University of Lausanne, Lausanne, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3605759.3625261

Reference41 articles.

1. Deep Learning with Differential Privacy

2. S.-W. An and S.-C. Seo . 2020. Highly Efficient Implementation of Block Ciphers on Graphic Processing Units for Massively Large Data. Applied Sciences 10, 11 ( 2020 ). S.-W. An and S.-C. Seo. 2020. Highly Efficient Implementation of Block Ciphers on Graphic Processing Units for Massively Large Data. Applied Sciences 10, 11 (2020).

3. C. Beguier M. Andreux and E. Tramel. 2021. Efficient Sparse Secure Aggregation for Federated Learning. https://arxiv.org/pdf/2007.14861.pdf. C. Beguier M. Andreux and E. Tramel. 2021. Efficient Sparse Secure Aggregation for Federated Learning. https://arxiv.org/pdf/2007.14861.pdf.

4. J. H. Bell , K. A. Bonawitz , A. Gascón , T. Lepoint , and M. Raykova . 2020 . Secure Single-Server Aggregation with (Poly)Logarithmic Overhead. In CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security , Virtual Event, USA, November 9--13 , 2020 , Jay Ligatti, Xinming Ou, Jonathan Katz, and Giovanni Vigna (Eds.). ACM, 1253--1269. J. H. Bell, K. A. Bonawitz, A. Gascón, T. Lepoint, and M. Raykova. 2020. Secure Single-Server Aggregation with (Poly)Logarithmic Overhead. In CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, USA, November 9--13, 2020, Jay Ligatti, Xinming Ou, Jonathan Katz, and Giovanni Vigna (Eds.). ACM, 1253--1269.