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FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated
  Learning

FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

23 September 2020
S. Kadhe
Nived Rajaraman
O. O. Koyluoglu
Kannan Ramchandran
    FedML
ArXivPDFHTML

Papers citing "FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning"

18 / 68 papers shown
Title
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
37
87
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
39
45
0
24 Mar 2022
The Fundamental Price of Secure Aggregation in Differentially Private
  Federated Learning
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning
Wei-Ning Chen
Christopher A. Choquette-Choo
Peter Kairouz
A. Suresh
FedML
42
63
0
07 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
26
30
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
Xingliang Yuan
X. Yi
Cong Wang
FedML
27
84
0
04 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and
  defences, experimental study and challenges
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges
Nuria Rodríguez-Barroso
Daniel Jiménez López
M. V. Luzón
Francisco Herrera
Eugenio Martínez-Cámara
FedML
37
213
0
20 Jan 2022
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure
  Aggregation in Federated Learning
CodedPaddedFL and CodedSecAgg: Straggler Mitigation and Secure Aggregation in Federated Learning
Reent Schlegel
Siddhartha Kumar
E. Rosnes
Alexandre Graell i Amat
FedML
32
43
0
16 Dec 2021
SASH: Efficient Secure Aggregation Based on SHPRG For Federated Learning
SASH: Efficient Secure Aggregation Based on SHPRG For Federated Learning
Zizhen Liu
Si-Quan Chen
Jing Ye
Junfeng Fan
Huawei Li
Xiaowei Li
FedML
22
12
0
24 Nov 2021
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
28
101
0
14 Nov 2021
Towards Sparse Federated Analytics: Location Heatmaps under Distributed
  Differential Privacy with Secure Aggregation
Towards Sparse Federated Analytics: Location Heatmaps under Distributed Differential Privacy with Secure Aggregation
Eugene Bagdasaryan
Peter Kairouz
S. Mellem
Adria Gascon
Kallista A. Bonawitz
D. Estrin
Marco Gruteser
24
28
0
03 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel
  Learning
Practical and Light-weight Secure Aggregation for Federated Submodel Learning
Jamie Cui
Cen Chen
Tiandi Ye
Li Wang
FedML
36
2
0
02 Nov 2021
Secure Aggregation for Buffered Asynchronous Federated Learning
Secure Aggregation for Buffered Asynchronous Federated Learning
Jinhyun So
Ramy E. Ali
Başak Güler
A. Avestimehr
FedML
17
26
0
05 Oct 2021
LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation
  in Federated Learning
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
67
167
0
29 Sep 2021
SAFE: Secure Aggregation with Failover and Encryption
SAFE: Secure Aggregation with Failover and Encryption
Thomas Sandholm
S. Mukherjee
Bernardo A. Huberman
FedML
35
6
0
12 Aug 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Privacy-Preserving Machine Learning: Methods, Challenges and Directions
Runhua Xu
Nathalie Baracaldo
J. Joshi
32
99
0
10 Aug 2021
Private Retrieval, Computing and Learning: Recent Progress and Future
  Challenges
Private Retrieval, Computing and Learning: Recent Progress and Future Challenges
S. Ulukus
Salman Avestimehr
Michael C. Gastpar
S. Jafar
Ravi Tandon
Chao Tian
FedML
35
64
0
30 Jul 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
45
77
0
07 Jun 2021
Information Theoretic Secure Aggregation with User Dropouts
Information Theoretic Secure Aggregation with User Dropouts
Yizhou Zhao
Hua Sun
FedML
59
67
0
19 Jan 2021
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