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A survey on secure decentralized optimization and learning

A survey on secure decentralized optimization and learning

16 August 2024
Changxin Liu
Nicola Bastianello
Wei Huo
Yang Shi
Karl H. Johansson
ArXivPDFHTML

Papers citing "A survey on secure decentralized optimization and learning"

6 / 6 papers shown
Title
Byzantine-Robust and Communication-Efficient Distributed Learning via
  Compressed Momentum Filtering
Byzantine-Robust and Communication-Efficient Distributed Learning via Compressed Momentum Filtering
Changxin Liu
Yanghao Li
Yuhao Yi
Karl H. Johansson
FedML
18
0
0
13 Sep 2024
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Byzantine Machine Learning Made Easy by Resilient Averaging of Momentums
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
23
67
0
24 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
FedML
91
30
0
24 May 2022
Graph-Homomorphic Perturbations for Private Decentralized Learning
Graph-Homomorphic Perturbations for Private Decentralized Learning
Stefan Vlaski
A. H. Sayed
FedML
28
7
0
23 Oct 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
1,014
0
29 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
253
3,102
0
04 Nov 2016
1