activity
20222025
most citedBalancing Privacy Protection and Interpretability in Federated Learning

3 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

FFCBA: Feature-based Full-target Clean-label Backdoor Attacks

Yangxu Yin, Honglong Chen, Yudong Gao +4

Backdoor attacks pose a significant threat to deep neural networks, as backdoored models would misclassify poisoned samples with specific triggers into target classes while maintai…

cs.LG2023★ 3 cited

Balancing Privacy Protection and Interpretability in Federated Learning

Zhe Li, Honglong Chen, Zhichen Ni +1

Federated learning (FL) aims to collaboratively train the global model in a distributed manner by sharing the model parameters from local clients to a central server, thereby poten…

cs.NI2022★ 1 cited

MSCET: A Multi-Scenario Offloading Schedule for Biomedical Data Processing and Analysis in Cloud-Edge-Terminal Collaborative Vehicular Networks

Zhichen Ni, Honglong Chen, Zhe Li +4

With the rapid development of Artificial Intelligence (AI) and Internet of Things (IoTs), an increasing number of computation intensive or delay sensitive biomedical data processin…

cs.IR2022★ 1 cited

VRConvMF: Visual Recurrent Convolutional Matrix Factorization for Movie Recommendation

Zhu Wang, Honglong Chen, Zhe Li +3

Sparsity of user-to-item rating data becomes one of challenging issues in the recommender systems, which severely deteriorates the recommendation performance. Fortunately, context-…

cs.CV2022

Edge Data Based Trailer Inception Probabilistic Matrix Factorization for Context-Aware Movie Recommendation

Honglong Chen, Zhe Li, Zhu Wang +5

The rapid growth of edge data generated by mobile devices and applications deployed at the edge of the network has exacerbated the problem of information overload. As an effective…