ResearchTrend.AI
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

Tsung-Hui Chang
Mingyi Hong
Hoi-To Wai
Xinwei Zhang
Songtao Lu
    GNN
ArXivPDFHTML

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
50
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
1,034
0
29 Nov 2018