SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
Secure Aggregation for Federated Learning

SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning

24 March 2022

Tayyebeh Jahani-Nezhad

Papers citing "SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning"

18 / 18 papers shown

Title
Federated One-Shot Learning with Data Privacy and Objective-Hiding Maximilian Egger Rüdiger Urbanke Rawad Bitar FedML 54 0 0 29 Apr 2025
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association Xiang Zhang Zhou Li Kai Wan Hua Sun Mingyue Ji Giuseppe Caire 58 0 0 06 Mar 2025
PriRoAgg: Achieving Robust Model Aggregation with Minimum Privacy Leakage for Federated Learning Sizai Hou Songze Li Tayyebeh Jahani-Nezhad Giuseppe Caire FedML 34 1 0 12 Jul 2024
A Blockchain Solution for Collaborative Machine Learning over IoT Carlos Beis-Penedo Francisco Troncoso-Pastoriza R. Redondo Ana Fernández Vilas M. Fernández-Veiga Martín González Soto 16 0 0 23 Nov 2023
LISA: LIghtweight single-server Secure Aggregation with a public source of randomness Elina van Kempen Qifei Li G. Marson Claudio Soriente 20 5 0 04 Aug 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 37 23 0 20 Jul 2023
Survey of Federated Learning Models for Spatial-Temporal Mobility Applications Yacine Belal Sonia Ben Mokhtar Hamed Haddadi Jaron Wang A. Mashhadi FedML 33 9 0 09 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models Songze Li Duanyi Yao Jin Liu FedML 25 28 0 26 Apr 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment Tayyebeh Jahani-Nezhad M. Maddah-ali Giuseppe Caire FedML 19 2 0 20 Feb 2023
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing Jiawei Shao Yuchang Sun Songze Li Jun Zhang OOD 27 37 0 06 Oct 2022
Dordis: Efficient Federated Learning with Dropout-Resilient Differential Privacy Zhifeng Jiang Wei Wang Ruichuan Chen 38 6 0 26 Sep 2022
Secure Embedding Aggregation for Federated Representation Learning Jiaxiang Tang Jinbao Zhu Songze Li Lichao Sun FedML 19 0 0 18 Jun 2022
On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys Kai Wan Xin Yao Hua Sun Mingyue Ji Giuseppe Caire FedML 15 0 0 24 Apr 2022
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure Aggregation for Federated Learning with Worst-Case Security Guarantees Tayyebeh Jahani-Nezhad M. Maddah-ali Songze Li Giuseppe Caire FedML 11 30 0 08 Feb 2022
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning Reent Schlegel Siddhartha Kumar E. Rosnes Alexandre Graell i Amat FedML 17 42 0 16 Dec 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning Jinhyun So Chaoyang He Chien-Sheng Yang Songze Li Qian-long Yu Ramy E. Ali Başak Güler Salman Avestimehr FedML 64 164 0 29 Sep 2021
SAFE: Secure Aggregation with Failover and Encryption Thomas Sandholm S. Mukherjee Bernardo A. Huberman FedML 18 6 0 12 Aug 2021
Information Theoretic Secure Aggregation with User Dropouts Yizhou Zhao Hua Sun FedML 59 67 0 19 Jan 2021