1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.LG2025
PIGDreamer: Privileged Information Guided World Models for Safe Partially Observable Reinforcement Learning
Dongchi Huang, Jiaqi Wang, Yang Li +3
Partial observability presents a significant challenge for Safe Reinforcement Learning (Safe RL), as it impedes the identification of potential risks and rewards. Leveraging specif…
cs.CR2025
FLSSM: A Federated Learning Storage Security Model with Homomorphic Encryption
Yang Li, Chunhe Xia, Chang Li +2
Federated learning based on homomorphic encryption has received widespread attention due to its high security and enhanced protection of user data privacy. However, the characteris…
cs.DC2024★ 1 cited
BFLN: A Blockchain-based Federated Learning Model for Non-IID Data
Yang Li, Chunhe Xia, Dongchi Huang +2
As the application of federated learning becomes increasingly widespread, the issue of imbalanced training data distribution has emerged as a significant challenge. Federated learn…