254 citations · 733 across the 18 of their papers we have counts for
9 papers · 1 filter
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction
Hao Guo, Collin Meese, Wanxin Li +2
Federated Learning (FL) is a privacy-preserving machine learning (ML) technology that enables collaborative training and learning of a global ML model based on aggregating distribu…
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities
Maryam Shaygan, Collin Meese, Wanxin Li +2
Traffic prediction plays a crucial role in alleviating traffic congestion which represents a critical problem globally, resulting in negative consequences such as lost hours of add…
Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning
Wanxin Li, Collin Meese, Hao Guo +1
Platooning technologies enable trucks to drive cooperatively and automatically, providing benefits including less fuel consumption, greater road capacity, and safety. This paper in…
A Hybrid Blockchain-Edge Architecture for Electronic Health Records Management with Attribute-based Cryptographic Mechanisms
Hao Guo, Wanxin Li, Mark Nejad +1
This paper presents a hybrid blockchain-edge architecture for managing Electronic Health Records (EHRs) with attribute-based cryptographic mechanisms. The architecture introduces a…
A Hierarchical and Location-aware Consensus Protocol for IoT-Blockchain Applications
Hao Guo, Wanxin Li, Mark Nejad
Blockchain-based IoT systems can manage IoT devices and achieve a high level of data integrity, security, and provenance. However, incorporating existing consensus protocols in man…
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction
Collin Meese, Hang Chen, Syed Ali Asif +3
Accurate real-time traffic flow prediction can be leveraged to relieve traffic congestion and associated negative impacts. The existing centralized deep learning methodologies have…
A Location-based and Hierarchical Framework for Fast Consensus in Blockchain Networks
Hao Guo, Wanxin Li, Mark Nejad
Blockchain-based IoT systems can manage IoT devices and achieve a high level of data integrity, security, and provenance. However, incorporating the existing consensus protocols in…
P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains
Wanxin Li, Collin Meese, Mark Nejad +1
Consensus algorithms play a critical role in blockchains and directly impact their performance. During consensus processing, nodes need to validate and order the pending transactio…
Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof
Wanxin Li, Collin Meese, Zijia Zhong +2
Platooning technologies enable trucks to drive cooperatively and automatically, which bring benefits including less fuel consumption, more road capacity and safety. In order to est…