MATLAB implementation of FedHK-MVFC

FedCSL: A Scalable and Accurate Approach to Federated Causal Structure Learning

Enhancing Causal Discovery in Federated Settings with Limited Local Samples

Towards Privacy-Aware Causal Structure Learning in Federated Setting

Sample Quality Heterogeneity-aware Federated Causal Discovery through Adaptive Variable Space Selection

Code for paper "面向物联网隐私数据分析的分布式弹性网络回归学习算法"

MATLAB implementation of "Federated Over-Air Subspace Tracking from Incomplete and Corrupted Data", IEEE Transactions on Signal Processing, Jun 2022.

Federated Principal Component Analysis Revisited!

Code for paper "A Distributed ADMM Approach for Collaborative Regression Learning in Edge Computing"