most citedNeural Collapse Inspired Federated Learning with Non-iid Data

1 citations · 1 across the 2 of their papers we have counts for

collaborators

2 papers

cs.LG2023

Shuffled Differentially Private Federated Learning for Time Series Data Analytics

Chenxi Huang, Chaoyang Jiang, Zhenghua Chen

Trustworthy federated learning aims to achieve optimal performance while ensuring clients' privacy. Existing privacy-preserving federated learning approaches are mostly tailored fo…

cs.LG2023★ 1 cited

Neural Collapse Inspired Federated Learning with Non-iid Data

Chenxi Huang, Liang Xie, Yibo Yang +3

One of the challenges in federated learning is the non-independent and identically distributed (non-iid) characteristics between heterogeneous devices, which cause significant diff…