88 citations · 301 across the 21 of their papers we have counts for
21 papers
GuardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering
Hao Yu, Chuan Ma, Meng Liu +5
Federated Learning (FL) offers collaborative model training without data sharing but is vulnerable to backdoor attacks, where poisoned model weights lead to compromised system inte…
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Kang Wei, Jun Li, Chuan Ma +5
Federated learning (FL) enables distributed clients to collaboratively train a machine learning model without sharing raw data with each other. However, it suffers the leakage of p…
Efficient and Low Overhead Website Fingerprinting Attacks and Defenses based on TCP/IP Traffic
Guodong Huang, Chuan Ma, Ming Ding +4
Website fingerprinting attack is an extensively studied technique used in a web browser to analyze traffic patterns and thus infer confidential information about users. Several web…
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Xiumei Deng, Jun Li, Chuan Ma +4
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) with distributed intelligence of industrial automation thanks to its capability of distributed machine learnin…
Providing Location Information at Edge Networks: A Federated Learning-Based Approach
Xin Cheng, Tingting Liu, Feng Shu +3
Recently, the development of mobile edge computing has enabled exhilarating edge artificial intelligence (AI) with fast response and low communication cost. The location informatio…
Federated Learning-Based Localization with Heterogeneous Fingerprint Database
Xin Cheng, Chuan Ma, Jun Li +3
Fingerprint-based localization plays an important role in indoor location-based services, where the position information is usually collected in distributed clients and gathered in…