1.5k citations · 2.9k across the 29 of their papers we have counts for
7 papers · 1 filter
Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach
Dinh C Nguyen, Pubudu N Pathirana, Ming Ding +1
Recently, blockchain has gained momentum in the academic community thanks to its decentralization, immutability, transparency and security. As an emerging paradigm, Multi-access Ed…
Blockchain for 5G and Beyond Networks: A State of the Art Survey
Dinh C Nguyen, Pubudu N Pathirana, Ming Ding +1
The fifth generation (5G) wireless networks are on the way to be deployed around the world. The 5G technologies target to support diverse vertical applications by connecting hetero…
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
Kang Wei, Jun Li, Ming Ding +6
In this paper, to effectively prevent information leakage, we propose a novel framework based on the concept of differential privacy (DP), in which artificial noises are added to t…
On Safeguarding Privacy and Security in the Framework of Federated Learning
Chuan Ma, Jun Li, Ming Ding +4
Motivated by the advancing computational capacity of wireless end-user equipment (UE), as well as the increasing concerns about sharing private data, a new machine learning (ML) pa…
Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges
Dinh C Nguyen, Pubudu N Pathirana, Ming Ding +1
The blockchain technology is taking the world by storm. Blockchain with its decentralized, transparent and secure nature has emerged as a disruptive technology for the next generat…
Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning
Dinh C. Nguyen, Pubudu N. Pathirana, Ming Ding +1
Blockchain technology with its secure, transparent and decentralized nature has been recently employed in many mobile applications. However, the mining process in mobile blockchain…