A systematic review of federated learning incentive mechanisms and associated security challenges

Keyphrases

• Federated Learning 100%
• Security Issues 100%
• Incentive Mechanism 100%
• Machine Learning Models 50%
• Privacy Concerns 33%
• Training Data 33%
• Training Model 33%
• Design Principles 33%
• Local Data 16%
• Private Data 16%
• Hyperparameters 16%
• Computational Resources 16%
• Open Research Issues 16%
• Adversary 16%
• Upload 16%
• Computational Capability 16%
• Optimal Incentives 16%
• Learning Environment 16%
• Machine Model 16%
• Local Machine 16%
• Reward-based 16%
• Central Server 16%
• Collaborative Training 16%
• Consumer Devices 16%
• Master Node 16%
• Incentive Schemes 16%
• Private Training 16%

Computer Science

• Security Challenge 100%
• Incentive Mechanism 100%
• Federated machine learning 100%
• Machine Learning Model 50%
• Training Data 33%
• Computational Resource 16%
• Open Research 16%
• Distributed Nature 16%
• Individual Device 16%
• Individual Client 16%
• Consumer Device 16%
• Leaning Parameter 16%