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Secure Distributed Training at Scale

Secure Distributed Training at Scale

21 June 2021
Eduard A. Gorbunov
Alexander Borzunov
Michael Diskin
Max Ryabinin
    FedML
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Papers citing "Secure Distributed Training at Scale"

7 / 7 papers shown
Title
Byzantine-Robust Gossip: Insights from a Dual Approach
Byzantine-Robust Gossip: Insights from a Dual Approach
Renaud Gaucher
Hadrien Hendrikx
Aymeric Dieuleveut
AAML
25
0
0
06 May 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
35
5
0
15 Oct 2023
Secure Distributed Optimization Under Gradient Attacks
Secure Distributed Optimization Under Gradient Attacks
Shuhua Yu
S. Kar
22
13
0
28 Oct 2022
Byzantine-Resilient Decentralized Stochastic Optimization with Robust
  Aggregation Rules
Byzantine-Resilient Decentralized Stochastic Optimization with Robust Aggregation Rules
Zhaoxian Wu
Tianyi Chen
Qing Ling
31
36
0
09 Jun 2022
Privacy and Robustness in Federated Learning: Attacks and Defenses
Privacy and Robustness in Federated Learning: Attacks and Defenses
Lingjuan Lyu
Han Yu
Xingjun Ma
Chen Chen
Lichao Sun
Jun Zhao
Qiang Yang
Philip S. Yu
FedML
175
355
0
07 Dec 2020
Linearly Converging Error Compensated SGD
Linearly Converging Error Compensated SGD
Eduard A. Gorbunov
D. Kovalev
Dmitry Makarenko
Peter Richtárik
163
77
0
23 Oct 2020
Megatron-LM: Training Multi-Billion Parameter Language Models Using
  Model Parallelism
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism
M. Shoeybi
M. Patwary
Raul Puri
P. LeGresley
Jared Casper
Bryan Catanzaro
MoE
245
1,817
0
17 Sep 2019
1