Resource-Constrained Decentralized Federated Learning via Personalized Event-Triggering

Computer Science

• Decentralized Federated Learning 100%
• Triggering Event 100%
• Federated machine learning 66%
• Convergence Rate 33%
• Network Resource 33%
• Convergence Speed 33%
• Gradient Descent Method 33%
• Local Network 33%
• Connectivity Graph 33%
• Device-To-Device 33%
• Data Heterogeneity 33%
• Machine Learning 33%
• Learning System 33%
• Triggering Condition 33%
• Event-triggered 33%

Keyphrases

• Asynchronous Event-triggered Communication 33%