Xi Zheng

STFL: A Temporal-Spatial Federated Learning Framework for Graph Neural Networks

2021 · arXiv (Cornell University)

We present a spatial-temporal federated learning framework for graph neural networks, namely STFL. The framework explores the underlying correlation of the input spatial-temporal data and transform it to both node features and adjacency matrix. The …

Dynamic Model Reduction for Decentralized Learning in Heterogeneous Mobile Networks

2023

Collaborating with nearby devices to train and personalize deep learning models opens the potential to support new mobile application scenarios. In emerging decentralized learning algorithms, devices communicate over a peer-to-peer network to share knowledge obtained …