most citedCritical Learning Periods in Federated Learning

3 citations · 6 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2022★ 3 cited

OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks

Wanyu Lin, Hao Lan, Hao Wang +1

This paper proposes a new eXplanation framework, called OrphicX, for generating causal explanations for any graph neural networks (GNNs) based on learned latent causal factors. Spe…

cs.LG2021★ 3 cited

Critical Learning Periods in Federated Learning

Gang Yan, Hao Wang, Jian Li

Federated learning (FL) is a popular technique to train machine learning (ML) models with decentralized data. Extensive works have studied the performance of the global model; howe…