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

v1v2v3 (latest)

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

24 March 2022

Tayyebeh Jahani-Nezhad

ArXiv (abs)PDF HTML

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

16 / 16 papers shown

Title
Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association Xiang Zhang Zhou Li Kai Wan Hua Sun Mingyue Ji Giuseppe Caire 121 1 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 112 4 0 12 Jul 2024
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 68 31 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 58 45 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 116 179 0 29 Sep 2021
Information Theoretic Secure Aggregation with User Dropouts Yizhou Zhao Hua Sun FedML 118 70 0 19 Jan 2021
Communication-Computation Efficient Secure Aggregation for Federated Learning Beongjun Choi Jy-yong Sohn Dong-Jun Han Jaekyun Moon FedML 82 96 0 10 Dec 2020
FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning S. Kadhe Nived Rajaraman O. O. Koyluoglu Kannan Ramchandran FedML 90 164 0 23 Sep 2020
Inverting Gradients -- How easy is it to break privacy in federated learning? Jonas Geiping Hartmut Bauermeister Hannah Dröge Michael Moeller FedML 121 1,234 0 31 Mar 2020
Turbo-Aggregate: Breaking the Quadratic Aggregation Barrier in Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 96 302 0 11 Feb 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 275 6,294 0 10 Dec 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 132 4,543 0 21 Aug 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 105 2,227 0 21 Jun 2019
Lagrange Coded Computing: Optimal Design for Resiliency, Security and Privacy Qian-long Yu Songze Li Netanel Raviv Seyed Mohammadreza Mousavi Kalan Jinhyun So A. Avestimehr 107 392 0 04 Jun 2018
Practical Secure Aggregation for Federated Learning on User-Held Data Keith Bonawitz Vladimir Ivanov Ben Kreuter Antonio Marcedone H. B. McMahan Sarvar Patel Daniel Ramage Aaron Segal Karn Seth FedML 88 506 0 14 Nov 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 412 17,615 0 17 Feb 2016

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.