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Joint Optimization of Energy Consumption and Completion Time in
  Federated Learning

Joint Optimization of Energy Consumption and Completion Time in Federated Learning

29 September 2022
Xinyu Zhou
Jun Zhao
Huimei Han
C. Guet
    FedML
ArXivPDFHTML

Papers citing "Joint Optimization of Energy Consumption and Completion Time in Federated Learning"

8 / 8 papers shown
Title
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks
Md Ferdous Pervej
Minseok Choi
A. Molisch
33
0
0
12 Aug 2024
Decentralized Personalized Federated Learning based on a Conditional
  Sparse-to-Sparser Scheme
Decentralized Personalized Federated Learning based on a Conditional Sparse-to-Sparser Scheme
Qianyu Long
Qiyuan Wang
Christos Anagnostopoulos
Daning Bi
FedML
28
0
0
24 Apr 2024
Resource Allocation for Semantic Communication under Physical-layer
  Security
Resource Allocation for Semantic Communication under Physical-layer Security
Yang Li
Xinyu Zhou
Jun Zhao
18
5
0
07 Dec 2023
Towards Benchmarking Power-Performance Characteristics of Federated
  Learning Clients
Towards Benchmarking Power-Performance Characteristics of Federated Learning Clients
Pratik Agrawal
Philipp Wiesner
O. Kao
FedML
29
0
0
16 Aug 2023
A Survey on Federated Learning for the Healthcare Metaverse: Concepts,
  Applications, Challenges, and Future Directions
A Survey on Federated Learning for the Healthcare Metaverse: Concepts, Applications, Challenges, and Future Directions
A. Bashir
Nancy Victor
S. Bhattacharya
Thien Huynh-The
Rajeswari Chengoden
Gokul Yenduri
Praveen Kumar Reddy Maddikunta
Viet Quoc Pham
Thippa Reddy Gadekallu
Madhusanka Liyanage
FedML
50
19
0
02 Apr 2023
Resource Allocation of Federated Learning for the Metaverse with Mobile
  Augmented Reality
Resource Allocation of Federated Learning for the Metaverse with Mobile Augmented Reality
Xinyu Zhou
Chang-rui Liu
Junfeng Zhao
29
22
0
16 Nov 2022
Time Minimization in Hierarchical Federated Learning
Time Minimization in Hierarchical Federated Learning
Chang-rui Liu
Terence Jie Chua
Junfeng Zhao
49
13
0
07 Oct 2022
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
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