CAREER: Advancing Federated Learning: Incentivizing Privacy-Preserving Collaborative Learning in Dynamic Environments

Federated learning is a method that enables multiple devices or organizations, referred to as clients, to collaboratively train a shared machine learning model without sharing their private data. Although it has shown promise in real-world applications, it still faces several challenges. One major issue is the lack of fairness, where clients who…