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Communication-Computation Efficient Secure Aggregation for Federated
  Learning
v1v2v3 (latest)

Communication-Computation Efficient Secure Aggregation for Federated Learning

10 December 2020
Beongjun Choi
Jy-yong Sohn
Dong-Jun Han
Jaekyun Moon
    FedML
ArXiv (abs)PDFHTML

Papers citing "Communication-Computation Efficient Secure Aggregation for Federated Learning"

30 / 30 papers shown
Title
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
Zhiqiang Li
Haiyong Bao
Menghong Guan
Hao Pan
Cheng Huang
Hong-Ning Dai
FedML
13
0
0
16 Jun 2025
Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption
Erfan Hosseini
Shuangyi Chen
Ashish Khisti
FedML
57
0
0
01 Mar 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing
Qingqing Ren
Wen Wang
Shuyong Zhu
Zhiyuan Wu
Yujun Zhang
85
0
0
02 Jan 2025
Re-Evaluating Privacy in Centralized and Decentralized Learning: An
  Information-Theoretical and Empirical Study
Re-Evaluating Privacy in Centralized and Decentralized Learning: An Information-Theoretical and Empirical Study
Changlong Ji
Stephane Maag
Richard Heusdens
Qiongxiu Li
FedML
56
2
0
21 Sep 2024
MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models
MedLeak: Multimodal Medical Data Leakage in Secure Federated Learning with Crafted Models
Shanghao Shi
Md Shahedul Haque
Abhijeet Parida
M. Linguraru
Marius George Linguraru
Y. T. Hou
Syed Muhammad Anwar
W. Lou
FedML
78
3
0
13 Jul 2024
Federated Learning in Healthcare: Model Misconducts, Security,
  Challenges, Applications, and Future Research Directions -- A Systematic
  Review
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
Md. Shahin Ali
M. Ahsan
Lamia Tasnim
Sadia Afrin
Koushik Biswas
Maruf Md. Sajjad Hossain
Md Mahfuz Ahmed
Ronok Hashan
Md. Khairul Islam
Shivakumar Raman
67
10
0
22 May 2024
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced
  Images
DecentNeRFs: Decentralized Neural Radiance Fields from Crowdsourced Images
Zaid Tasneem
Akshat Dave
Abhishek Singh
Kushagra Tiwary
Praneeth Vepakomma
Ashok Veeraraghavan
Ramesh Raskar
82
0
0
19 Mar 2024
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated
  Learning via Latent Space Reconstruction
Scale-MIA: A Scalable Model Inversion Attack against Secure Federated Learning via Latent Space Reconstruction
Shanghao Shi
Ning Wang
Yang Xiao
Chaoyu Zhang
Yi Shi
Y. T. Hou
W. Lou
62
8
0
10 Nov 2023
LISA: LIghtweight single-server Secure Aggregation with a public source
  of randomness
LISA: LIghtweight single-server Secure Aggregation with a public source of randomness
Elina van Kempen
Qifei Li
G. Marson
Claudio Soriente
55
4
0
04 Aug 2023
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving
  Federated Learning
FSSA: Efficient 3-Round Secure Aggregation for Privacy-Preserving Federated Learning
Fucai Luo
Saif M. Al-Kuwari
Haiyan Wang
Xingfu Yan
21
1
0
22 May 2023
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated
  Learning for Split Models
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models
Songze Li
Duanyi Yao
Jin Liu
FedML
106
30
0
26 Apr 2023
Efficient Secure Aggregation for Privacy-Preserving Federated Machine
  Learning
Efficient Secure Aggregation for Privacy-Preserving Federated Machine Learning
R. Behnia
Mohammadreza Ebrahimi
Arman Riasi
Sherman S. M. Chow
B. Padmanabhan
Thang Hoang
86
7
0
07 Apr 2023
FedREP: A Byzantine-Robust, Communication-Efficient and
  Privacy-Preserving Framework for Federated Learning
FedREP: A Byzantine-Robust, Communication-Efficient and Privacy-Preserving Framework for Federated Learning
Yi-Rui Yang
Kun Wang
Wulu Li
FedML
76
3
0
09 Mar 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment
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
78
4
0
20 Feb 2023
Topology-aware Federated Learning in Edge Computing: A Comprehensive
  Survey
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey
Jiajun Wu
Steve Drew
Fan Dong
Zhuangdi Zhu
Jiayu Zhou
FedML
117
52
0
06 Feb 2023
Secure Shapley Value for Cross-Silo Federated Learning (Technical
  Report)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
Shuyuan Zheng
Yang Cao
Masatoshi Yoshikawa
FedML
105
25
0
11 Sep 2022
Secure Aggregation for Federated Learning in Flower
Secure Aggregation for Federated Learning in Flower
Kwing Hei Li
Pedro Porto Buarque de Gusmão
Daniel J. Beutel
Nicholas D. Lane
FedML
95
39
0
12 May 2022
On the Information Theoretic Secure Aggregation with Uncoded Groupwise
  Keys
On the Information Theoretic Secure Aggregation with Uncoded Groupwise Keys
Kai Wan
Xin Yao
Hua Sun
Mingyue Ji
Giuseppe Caire
FedML
45
0
0
24 Apr 2022
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine
  Learning
Efficient Dropout-resilient Aggregation for Privacy-preserving Machine Learning
Ziyao Liu
Jiale Guo
Kwok-Yan Lam
Jun Zhao
67
82
0
31 Mar 2022
Privacy-Preserving Aggregation in Federated Learning: A Survey
Privacy-Preserving Aggregation in Federated Learning: A Survey
Ziyao Liu
Jiale Guo
Wenzhuo Yang
Jiani Fan
Kwok-Yan Lam
Jun Zhao
FedML
104
93
0
31 Mar 2022
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in
  Secure Aggregation for Federated Learning
SwiftAgg+: Achieving Asymptotically Optimal Communication Loads in Secure Aggregation for Federated Learning
Tayyebeh Jahani-Nezhad
M. Maddah-ali
Songze Li
Giuseppe Caire
FedML
123
53
0
24 Mar 2022
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative
  Learning for Industrial IoT
SPRITE: A Scalable Privacy-Preserving and Verifiable Collaborative Learning for Industrial IoT
Jayasree Sengupta
Sushmita Ruj
Sipra Das Bit
24
4
0
22 Mar 2022
SwiftAgg: Communication-Efficient and Dropout-Resistant Secure
  Aggregation for Federated Learning with Worst-Case Security Guarantees
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
80
31
0
08 Feb 2022
Aggregation Service for Federated Learning: An Efficient, Secure, and
  More Resilient Realization
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization
Yifeng Zheng
Shangqi Lai
Yi Liu
Lizhen Qu
X. Yi
Cong Wang
FedML
70
87
0
04 Feb 2022
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Eluding Secure Aggregation in Federated Learning via Model Inconsistency
Dario Pasquini
Danilo Francati
G. Ateniese
FedML
79
104
0
14 Nov 2021
SAFE: Secure Aggregation with Failover and Encryption
SAFE: Secure Aggregation with Failover and Encryption
Thomas Sandholm
S. Mukherjee
Bernardo A. Huberman
FedML
71
6
0
12 Aug 2021
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in
  Federated Learning
Securing Secure Aggregation: Mitigating Multi-Round Privacy Leakage in Federated Learning
Jinhyun So
Ramy E. Ali
Başak Güler
Jiantao Jiao
Salman Avestimehr
FedML
95
81
0
07 Jun 2021
FED-$χ^2$: Privacy Preserving Federated Correlation Test
FED-χ2χ^2χ2: Privacy Preserving Federated Correlation Test
Lun Wang
Qi Pang
Shuai Wang
Basel Alomair
FedML
44
5
0
30 May 2021
Information Theoretic Secure Aggregation with User Dropouts
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao
Hua Sun
FedML
131
70
0
19 Jan 2021
SSGD: A safe and efficient method of gradient descent
SSGD: A safe and efficient method of gradient descent
Jinhuan Duan
Xianxian Li
Shiqi Gao
Jinyan Wang
Ziliang Zhong
44
4
0
03 Dec 2020
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