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Distributed Learning in the Non-Convex World: From Batch to Streaming
  Data, and Beyond

Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond

14 January 2020
Tsung-Hui Chang
Mingyi Hong
Hoi-To Wai
Xinwei Zhang
Songtao Lu
    GNN
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Papers citing "Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond"

3 / 3 papers shown
Title
GT-STORM: Taming Sample, Communication, and Memory Complexities in
  Decentralized Non-Convex Learning
GT-STORM: Taming Sample, Communication, and Memory Complexities in Decentralized Non-Convex Learning
Xin Zhang
Jia Liu
Zhengyuan Zhu
Elizabeth S. Bentley
49
14
0
04 May 2021
Federated Learning over Wireless Device-to-Device Networks: Algorithms
  and Convergence Analysis
Federated Learning over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis
Hong Xing
Osvaldo Simeone
Suzhi Bi
47
94
0
29 Jan 2021
Analyzing Federated Learning through an Adversarial Lens
Analyzing Federated Learning through an Adversarial Lens
A. Bhagoji
Supriyo Chakraborty
Prateek Mittal
S. Calo
FedML
191
1,033
0
29 Nov 2018
1