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Energy Efficient Deployment and Orchestration of Computing Resources at
  the Network Edge: a Survey on Algorithms, Trends and Open Challenges

Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges

28 September 2022
N. Shalavi
Giovanni Perin
Andrea Zanella
M. Rossi
ArXivPDFHTML

Papers citing "Energy Efficient Deployment and Orchestration of Computing Resources at the Network Edge: a Survey on Algorithms, Trends and Open Challenges"

2 / 2 papers shown
Title
Cost-Effective Federated Learning in Mobile Edge Networks
Cost-Effective Federated Learning in Mobile Edge Networks
Bing Luo
Xiang Li
Shiqiang Wang
Jianwei Huang
Leandros Tassiulas
FedML
42
71
0
12 Sep 2021
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
138
1,663
0
14 Apr 2018
1