3 papers
cs.CL2025
AxBERT: An Interpretable Chinese Spelling Correction Method Driven by Associative Knowledge Network
Fanyu Wang, Hangyu Zhu, Zhenping Xie
Deep learning has shown promising performance on various machine learning tasks. Nevertheless, the uninterpretability of deep learning models severely restricts the usage domains t…
cs.LG2024
UA-PDFL: A Personalized Approach for Decentralized Federated Learning
Hangyu Zhu, Yuxiang Fan, Zhenping Xie
Federated learning (FL) is a privacy preserving machine learning paradigm designed to collaboratively learn a global model without data leakage. Specifically, in a typical FL syste…
cs.CR2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study
Hangyu Zhu, Liyuan Huang, Zhenping Xie
Federated learning (FL) is an emerging distributed machine learning paradigm proposed for privacy preservation. Unlike traditional centralized learning approaches, FL enables multi…