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ScionFL: Efficient and Robust Secure Quantized Aggregation

ScionFL: Efficient and Robust Secure Quantized Aggregation

13 October 2022
Y. Ben-Itzhak
Helen Mollering
Benny Pinkas
T. Schneider
Ajith Suresh
Oleksandr Tkachenko
S. Vargaftik
Christian Weinert
Hossein Yalame
Avishay Yanai
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Papers citing "ScionFL: Efficient and Robust Secure Quantized Aggregation"

9 / 9 papers shown
Title
MPClan: Protocol Suite for Privacy-Conscious Computations
MPClan: Protocol Suite for Privacy-Conscious Computations
Nishat Koti
S. Patil
A. Patra
Ajith Suresh
11
18
0
24 Jun 2022
QUIC-FL: Quick Unbiased Compression for Federated Learning
QUIC-FL: Quick Unbiased Compression for Federated Learning
Ran Ben-Basat
S. Vargaftik
Amit Portnoy
Gil Einziger
Y. Ben-Itzhak
Michael Mitzenmacher
FedML
64
13
0
26 May 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient
  Magnification
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
Yuxin Wen
Jonas Geiping
Liam H. Fowl
Micah Goldblum
Tom Goldstein
FedML
79
92
0
01 Feb 2022
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
MPCLeague: Robust MPC Platform for Privacy-Preserving Machine Learning
Ajith Suresh
21
17
0
26 Dec 2021
When the Curious Abandon Honesty: Federated Learning Is Not Private
When the Curious Abandon Honesty: Federated Learning Is Not Private
Franziska Boenisch
Adam Dziedzic
R. Schuster
Ali Shahin Shamsabadi
Ilia Shumailov
Nicolas Papernot
FedML
AAML
69
181
0
06 Dec 2021
A Field Guide to Federated Optimization
A Field Guide to Federated Optimization
Jianyu Wang
Zachary B. Charles
Zheng Xu
Gauri Joshi
H. B. McMahan
...
Mi Zhang
Tong Zhang
Chunxiang Zheng
Chen Zhu
Wennan Zhu
FedML
173
411
0
14 Jul 2021
DRIVE: One-bit Distributed Mean Estimation
DRIVE: One-bit Distributed Mean Estimation
S. Vargaftik
Ran Ben-Basat
Amit Portnoy
Gal Mendelson
Y. Ben-Itzhak
Michael Mitzenmacher
OOD
FedML
66
51
0
18 May 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping
Xiaoyu Cao
Minghong Fang
Jia Liu
Neil Zhenqiang Gong
FedML
106
611
0
27 Dec 2020
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
177
1,032
0
29 Nov 2018
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