254 citations · 375 across the 7 of their papers we have counts for
4 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…
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…
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…
Blockchain-enabled Identity Verification for Safe Ridesharing Leveraging Zero-Knowledge Proof
Wanxin Li, Collin Meese, Hao Guo +1
The on-demand mobility market, including ridesharing, is becoming increasingly important with e-hailing fares growing at a rate of approximately 130% per annum since 2013. By incre…