IEEE

D2D-Assisted Hierarchical Federated Learning With Clustering Based on Graph Convolutional ...

Abstract: Federated Learning (FL) is a popular privacy-preserving machine learning paradigm, enabling collaborative training among distributed devices coordinated by a central server, without ...
IEEE

Toward Personalized Federated Meta-Learning With Constrained Hypernetwork on Non-IID Data

Abstract: Personalized Federated Learning (pFL) tailors models to each client’s local data distribution in heterogeneous federated learning settings. Federated Meta-Learning (FML) is a branch of pFL ...
来自MSN

Bentonville students demo new communication tool for those with special needs

Bentonville students demo new communication tool for those with special needs Trump 'inclined' to keep ExxonMobil out of Venezuela after CEO response at White House meeting Video analysis of Renee ...