research
∙
02/03/2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Federated learning (FL) is the most popular distributed machine learning...
share
research
∙
12/04/2021
A Game-Theoretic Approach for AI-based Botnet Attack Defence
The new generation of botnets leverages Artificial Intelligent (AI) tech...
research
∙
10/29/2021
A Survey on Threat Situation Awareness Systems: Framework, Techniques, and Insights
Cyberspace is full of uncertainty in terms of advanced and sophisticated...
research
∙
07/20/2021
A Markov Game Model for AI-based Cyber Security Attack Mitigation
The new generation of cyber threats leverages advanced AI-aided methods,...
research
∙
03/03/2021
Evaluation and Optimization of Distributed Machine Learning Techniques for Internet of Things
Federated learning (FL) and split learning (SL) are state-of-the-art dis...
research
∙
11/25/2020
Advancements of federated learning towards privacy preservation: from federated learning to split learning
In the distributed collaborative machine learning (DCML) paradigm, feder...
research
∙
07/27/2020
FedEmail: Performance Measurement of Privacy-friendly Phishing Detection Enabled by Federated Learning
Artificial intelligence (AI) has been applied in phishing email detectio...
research
∙
03/30/2020
End-to-End Evaluation of Federated Learning and Split Learning for Internet of Things
This work is the first attempt to evaluate and compare felderated learni...
research
∙
03/16/2020