2 papers
cs.CR2025
Local Differential Privacy for Tensors in Distributed Computing Systems
Yachao Yuan, Xiao Tang, Yu Huang +2
Tensor-valued data, increasingly common in distributed big data applications like autonomous driving and smart healthcare, poses unique challenges for privacy protection due to its…
cs.LG2024
FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning
Jordan Slessor, Dezheng Kong, Xiaofen Tang +2
Federated learning (FL) is a machine learning methodology that involves the collaborative training of a global model across multiple decentralized clients in a privacy-preserving w…