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E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge
  AI

E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI

4 August 2020
Lei Yang
Yanyan Lu
Jiannong Cao
Jiaming Huang
Mingjin Zhang
ArXivPDFHTML

Papers citing "E-Tree Learning: A Novel Decentralized Model Learning Framework for Edge AI"

3 / 3 papers shown
Title
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and
  Applications
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications
Azim Akhtarshenas
Mohammad Ali Vahedifar
Navid Ayoobi
B. Maham
Tohid Alizadeh
Sina Ebrahimi
David López-Pérez
FedML
30
5
0
08 Oct 2023
Edge Intelligence: The Confluence of Edge Computing and Artificial
  Intelligence
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
Shuiguang Deng
Hailiang Zhao
Weijia Fang
Jianwei Yin
Schahram Dustdar
Albert Y. Zomaya
74
605
0
02 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing
  Systems
Adaptive Federated Learning in Resource Constrained Edge Computing Systems
Shiqiang Wang
Tiffany Tuor
Theodoros Salonidis
K. Leung
C. Makaya
T. He
Kevin S. Chan
144
1,687
0
14 Apr 2018
1