Emerging trends in federated learning: From model fusion to federated x learning
Federated learning is a new learning paradigm that decouples data collection and model
training via multi-party computation and model aggregation. As a flexible learning setting …
training via multi-party computation and model aggregation. As a flexible learning setting …
GFD-SSL: generative federated knowledge distillation-based semi-supervised learning
Federated semi-supervised learning (Fed-SSL) algorithms have been developed to address
the challenges of decentralized data access, data confidentiality, and costly data labeling in …
the challenges of decentralized data access, data confidentiality, and costly data labeling in …