Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2102.08166
Cited By
Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?
16 February 2021
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Differential Privacy and Byzantine Resilience in SGD: Do They Add Up?"
18 / 18 papers shown
Title
Towards Trustworthy Federated Learning with Untrusted Participants
Youssef Allouah
R. Guerraoui
John Stephan
FedML
53
0
0
03 May 2025
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning
Emre Ozfatura
Kerem Ozfatura
Alptekin Kupcu
Deniz Gunduz
AAML
35
0
0
09 Apr 2024
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data
Richeng Jin
Yujie Gu
Kai Yue
Xiaofan He
Zhaoyang Zhang
Huaiyu Dai
FedML
20
0
0
16 Feb 2024
Robustness, Efficiency, or Privacy: Pick Two in Machine Learning
Youssef Allouah
R. Guerraoui
John Stephan
OOD
21
2
0
22 Dec 2023
SABLE: Secure And Byzantine robust LEarning
Antoine Choffrut
R. Guerraoui
Rafael Pinot
Renaud Sirdey
John Stephan
Martin Zuber
AAML
26
2
0
11 Sep 2023
Byzantine-Robust Federated Learning with Variance Reduction and Differential Privacy
Zikai Zhang
Rui Hu
38
11
0
07 Sep 2023
On the Tradeoff between Privacy Preservation and Byzantine-Robustness in Decentralized Learning
Haoxiang Ye
He Zhu
Qing Ling
FedML
36
11
0
28 Aug 2023
DP-BREM: Differentially-Private and Byzantine-Robust Federated Learning with Client Momentum
Xiaolan Gu
Ming Li
Lishuang Xiong
FedML
30
4
0
22 Jun 2023
Practical Differentially Private and Byzantine-resilient Federated Learning
Zihang Xiang
Tianhao Wang
Wanyu Lin
Di Wang
FedML
36
21
0
15 Apr 2023
Fundamentals of Generative Large Language Models and Perspectives in Cyber-Defense
Andrei Kucharavy
Z. Schillaci
Loic Maréchal
Maxime Wursch
Ljiljana Dolamic
Remi Sabonnadiere
Dimitri Percia David
Alain Mermoud
Vincent Lenders
ELM
AI4CE
30
31
0
21 Mar 2023
On the Privacy-Robustness-Utility Trilemma in Distributed Learning
Youssef Allouah
R. Guerraoui
Nirupam Gupta
Rafael Pinot
John Stephan
FedML
18
21
0
09 Feb 2023
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation
Heng Zhu
Qing Ling
FedML
20
23
0
29 Apr 2022
SPDL: Blockchain-secured and Privacy-preserving Decentralized Learning
Minghui Xu
Zong-bao Zou
Ye Cheng
Qin Hu
Dongxiao Yu
Xiuzhen Cheng
22
3
0
06 Jan 2022
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
Xiaolan Gu
Ming Li
Lishuang Xiong
FedML
18
10
0
22 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD
R. Guerraoui
Nirupam Gupta
Rafael Pinot
Sébastien Rouault
John Stephan
FedML
40
4
0
08 Oct 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
Arthur Drichel
Benedikt Holmes
Justus von Brandt
Ulrike Meyer
92
7
0
24 Sep 2021
A Survey on Fault-tolerance in Distributed Optimization and Machine Learning
Shuo Liu
AI4CE
OOD
47
13
0
16 Jun 2021
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
Ulfar Erlingsson
Vitaly Feldman
Ilya Mironov
A. Raghunathan
Kunal Talwar
Abhradeep Thakurta
144
420
0
29 Nov 2018
1