5 citations · 5 across the 1 of their papers we have counts for
2 papers
cs.LG2022★ 5 cited
Communication-Efficient Federated Distillation with Active Data Sampling
Lumin Liu, Jun Zhang, S. H. Song +1
Federated learning (FL) is a promising paradigm to enable privacy-preserving deep learning from distributed data. Most previous works are based on federated average (FedAvg), which…
cs.NI2019
Client-Edge-Cloud Hierarchical Federated Learning
Lumin Liu, Jun Zhang, S. H. Song +1
Federated Learning is a collaborative machine learning framework to train a deep learning model without accessing clients' private data. Previous works assume one central parameter…