Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning
Federated Learning (FL) is a distributed model training framework that allows multiple
clients to collaborate on training a global model without disclosing their local data in edge …
clients to collaborate on training a global model without disclosing their local data in edge …
Adaptive Block-Wise Regularization and Knowledge Distillation for Enhancing Federated Learning
J Liu, Q Zeng, H Xu, Y Xu, Z Wang… - IEEE/ACM Transactions …, 2023 - computer.org
Federated Learning (FL) is a distributed model training framework that allows multiple
clients to collaborate on training a global model without disclosing their local data in edge …
clients to collaborate on training a global model without disclosing their local data in edge …