2025
Efficient Federated Learning via Clients-to-Server Knowledge Distillation (Student Abstract)
AAAI 2025technical
To diminish the substantial communication costs incurred by federated learning during the training of the global model and enhance the model update efficiency across both clients and server domains, we have integrated knowledge distillation into the federated learning framework. This integration has…