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Byzantine-Robust Federated Learning with Optimal Statistical Rates and
  Privacy Guarantees

Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees

24 May 2022
Banghua Zhu
Lun Wang
Qi Pang
Shuai Wang
Jiantao Jiao
D. Song
Michael I. Jordan
    FedML
ArXivPDFHTML

Papers citing "Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees"

7 / 7 papers shown
Title
FedSV: Byzantine-Robust Federated Learning via Shapley Value
FedSV: Byzantine-Robust Federated Learning via Shapley Value
Khaoula Otmani
Rachid Elazouzi
Vincent Labatut
FedML
AAML
78
1
0
24 Feb 2025
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
S. Pokutta
AAML
49
1
0
19 Feb 2024
Harnessing the Power of Federated Learning in Federated Contextual
  Bandits
Harnessing the Power of Federated Learning in Federated Contextual Bandits
Chengshuai Shi
Ruida Zhou
Kun Yang
Cong Shen
FedML
8
0
0
26 Dec 2023
High Dimensional Distributed Gradient Descent with Arbitrary Number of
  Byzantine Attackers
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers
Puning Zhao
Zhiguo Wan
OOD
FedML
28
4
0
25 Jul 2023
Secure Distributed Optimization Under Gradient Attacks
Secure Distributed Optimization Under Gradient Attacks
Shuhua Yu
S. Kar
14
13
0
28 Oct 2022
Secure Byzantine-Robust Distributed Learning via Clustering
Secure Byzantine-Robust Distributed Learning via Clustering
R. K. Velicheti
Derek Xia
Oluwasanmi Koyejo
FedML
OOD
45
16
0
06 Oct 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
174
1,014
0
29 Nov 2018
1