5 citations · 8 across the 16 of their papers we have counts for
Showing 2024Show all
2 papers · 1 filter
cs.CR2024
Privacy-preserving Quantification of Non-IID Degree in Federated Learning
Yuping Yan, Yizhi Wang, Yingchao Yu +1
Federated learning (FL) offers a privacy-preserving approach to machine learning for multiple collaborators without sharing raw data. However, the existence of non-independent and…
cs.LG2024
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks
Yingchao Yu, Yuping Yan, Jisong Cai +1
Federated learning (FL) has emerged as a promising paradigm for training models on decentralized data while safeguarding data privacy. Most existing FL systems, however, assume tha…