Client-Edge-Cloud Hierarchical Federated Learning联邦学习(云 -边-端)模型笔记 摘要 摘要--联合学习是一个协作式的机器学习框架,用于训练深度学习模型而不需要访问客户的私人数据。以前的工作假设在云端或边缘有一个中央参数服务器。云服务器可以访问更多的数据,但有过多的通信开销和较长的延迟,而边缘服务器享有与...
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 server either at the cloud or at the edge. The cloud server can access more data but with excessive communication overhe...
Implementation of HierFAVG algorithm inClient-Edge-Cloud Hierarchical Federated Learningwith Pytorch. For running HierFAVG with mnist and lenet: python3 hierfavg --dataset mnist --model lenet --num_clients 50 --num_edges 5 --frac 1 --num_local_update 60 --num_edge_aggregation 1 --num...
Hier-SFL: Client-edge-cloud collaborative traffic classification framework based on hierarchical federated split learning Tian Qin,Guang Cheng,Yichen Wei,... - 《Future Generation Computer Systems》 - 2023 - 被引量: 0 ...
Implementation of HierFAVG algorithm inClient-Edge-Cloud Hierarchical Federated Learningwith Pytorch. For running HierFAVG with mnist and lenet: python3 hierfavg --dataset mnist --model lenet --num_clients 50 --num_edges 5 --frac 1 --num_local_update 60 --num_edge_aggregation 1 --num...