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Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity

3 February 2023
Youssef Allouah
Sadegh Farhadkhani
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
    FedML
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Papers citing "Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity"

11 / 11 papers shown
Title
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy
Gleb Molodtsov
Daniil Medyakov
Sergey Skorik
Nikolas Khachaturov
Shahane Tigranyan
Vladimir Aletov
A. Avetisyan
Martin Takáč
Aleksandr Beznosikov
AAML
35
0
0
12 May 2025
Bayesian Robust Aggregation for Federated Learning
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev
Usama Zafar
Salman Toor
Prashant Singh
FedML
40
0
0
05 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
55
0
0
03 May 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
Jiahao Xu
Zikai Zhang
Rui Hu
AAML
FedML
Presented at ResearchTrend Connect | FedML on 28 Mar 2025
152
0
0
11 Mar 2025
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML
T. Dahan
Kfir Y. Levy
70
0
0
17 Jan 2025
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive
  Sparsified Model Aggregation
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation
Jiahao Xu
Zikai Zhang
Rui Hu
44
5
0
02 Sep 2024
On the Byzantine-Resilience of Distillation-Based Federated Learning
On the Byzantine-Resilience of Distillation-Based Federated Learning
Christophe Roux
Max Zimmer
Sebastian Pokutta
AAML
57
1
0
19 Feb 2024
Communication Compression for Byzantine Robust Learning: New Efficient
  Algorithms and Improved Rates
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates
Ahmad Rammal
Kaja Gruntkowska
Nikita Fedin
Eduard A. Gorbunov
Peter Richtárik
45
5
0
15 Oct 2023
Byzantines can also Learn from History: Fall of Centered Clipping in
  Federated Learning
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Kerem Ozfatura
Emre Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
FedML
36
13
0
21 Aug 2022
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
31
67
0
24 May 2022
Approximate Byzantine Fault-Tolerance in Distributed Optimization
Approximate Byzantine Fault-Tolerance in Distributed Optimization
Shuo Liu
Nirupam Gupta
Nitin H. Vaidya
28
42
0
22 Jan 2021
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