L4L: Experience-Driven Computational Resource Control in Federated Learning

Computer Science

• Computational Resource 100%
• Control Approach 25%
• Cycle Frequency 25%
• Data Privacy 25%
• Deep Reinforcement Learning 25%
• Energy Consumption 25%
• Energy Efficiency 50%
• Federated Learning 100%
• Learning Process 25%
• Machine Learning 50%
• Optimization Problem 50%
• Time Consumption 25%