연합학습에서의 토큰 및 신뢰 기반 인센티브 메커니즘에 대한 연구

Federated Learning (FL) allows multiple participants to train shared models without exchanging raw data, protecting privacy but relying on voluntary participation. Effective incentives are therefore critical to ensure engagement and quality contributions. This review synthesizes recent developments,... View More