Keyphrases
Energy Consumption
100%
Federated Edge Learning
100%
Convergence Rate
100%
Curb
100%
Server-side
100%
Biased Models
100%
Energy Consumption Model
100%
Federated Learning
50%
Machine Learning Models
50%
Task-oriented
50%
Energy Budget
50%
Energy Performance
50%
Learning Performance
50%
Global Model
50%
Computational Resources
50%
User Equipment
50%
Training Data
50%
Performance Degradation
50%
Client-side
50%
Privacy-preserving
50%
Optimization Problem
50%
Local Accuracy
50%
Data Distribution
50%
Energy Consumption Reduction
50%
Transmit Power
50%
Incongruity
50%
Energy Usage
50%
Overall Energy
50%
Wireless Edge Networks
50%
Resource-constrained
50%
Learning Task
50%
Optimization Variables
50%
Realistic Dataset
50%
CIFAR-10
50%
CPU Frequency
50%
Jain's Fairness Index
50%
Communication Resources
50%
Data Heterogeneity
50%
Balance Energy
50%
Overall Optimization
50%
Engineering
Subproblem
100%
Performance Degradation
50%
Optimisation Problem
50%
Energy Usage
50%
Reduce Energy Consumption
50%
Convergence Rate
50%
Network Edge
50%
Learning Task
50%
Learning System
50%
Computer Science
Energy Consumption
100%
Federated Learning
25%
Energy Performance
25%
Learning Performance
25%
Privacy Preservation
25%
Performance Degradation
25%
Convergence Rate
25%
Optimization Problem
25%
Data Distribution
25%
Training Data
25%
Fairness Index
25%
Communication Resource
25%
Data Heterogeneity
25%
Machine Learning
25%
Learning System
25%