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2020 – today
- 2024
[j3]Collin Meese
, Hang Chen, Wanxin Li, Danielle Lee, Hao Guo, Chien-Chung Shen, Mark M. Nejad:
Adaptive Traffic Prediction at the ITS Edge With Online Models and Blockchain-Based Federated Learning. IEEE Trans. Intell. Transp. Syst. 25(9): 10725-10740 (2024)- [c5]Hao Guo, Wanxin Li, Collin Meese, Mark M. Nejad:
Decentralized Electronic Health Records Management via Redactable Blockchain and Revocable IPFS. CHASE 2024: 167-171 - [i8]Hang Chen, Collin Meese, Mark M. Nejad, Chien-Chung Shen:
Individualized Federated Learning for Traffic Prediction with Error Driven Aggregation. CoRR abs/2407.12226 (2024) - 2023
- [j2]Wanxin Li, Collin Meese, Hao Guo, Mark M. Nejad:
Aggregated Zero-Knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning. IEEE Trans. Intell. Transp. Syst. 24(9): 9309-9323 (2023) - [j1]Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark M. Nejad:
B2SFL: A Bi-Level Blockchained Architecture for Secure Federated Learning-Based Traffic Prediction. IEEE Trans. Serv. Comput. 16(6): 4360-4374 (2023) - [c4]Wanxin Li, Collin Meese, Mark M. Nejad, Hao Guo:
ZK-BFT: A Zero-knowledge and Byzantine Fault Tolerant Consensus for Permissioned Blockchain Networks. ICBTA 2023: 70-77 - [c3]Collin Meese, Danielle Lee, Hang Chen, Mark M. Nejad:
vLOFT: Variable Learning Rate for Online Federated Traffic Prediction. ITSC 2023: 4247-4253 - [i7]Wanxin Li, Collin Meese, Zijia Zhong, Hao Guo, Mark M. Nejad:
Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof. CoRR abs/2305.16868 (2023) - [i6]Wanxin Li, Collin Meese, Mark M. Nejad, Hao Guo:
P-CFT: A Privacy-preserving and Crash Fault Tolerant Consensus Algorithm for Permissioned Blockchains. CoRR abs/2305.16927 (2023) - [i5]Collin Meese, Hang Chen, Syed Ali Asif, Wanxin Li, Chien-Chung Shen, Mark M. Nejad:
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction. CoRR abs/2305.17677 (2023) - [i4]Maryam Shaygan, Collin Meese, Wanxin Li, Xiaolong Zhao, Mark M. Nejad:
Traffic Prediction using Artificial Intelligence: Review of Recent Advances and Emerging Opportunities. CoRR abs/2305.19591 (2023) - [i3]Wanxin Li, Collin Meese, Hao Guo, Mark M. Nejad:
Aggregated Zero-knowledge Proof and Blockchain-Empowered Authentication for Autonomous Truck Platooning. CoRR abs/2305.19813 (2023) - [i2]Hao Guo, Collin Meese, Wanxin Li, Chien-Chung Shen, Mark M. Nejad:
B^2SFL: A Bi-level Blockchained Architecture for Secure Federated Learning-based Traffic Prediction. CoRR abs/2310.14669 (2023) - 2022
- [c2]Collin Meese, Hang Chen, Syed Ali Asif, Wanxin Li, Chien-Chung Shen, Mark M. Nejad:
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction. CCGRID 2022: 317-326 - 2021
- [c1]Wanxin Li, Collin Meese, Zijia Gary Zhong, Hao Guo, Mark M. Nejad:
Location-aware Verification for Autonomous Truck Platooning Based on Blockchain and Zero-knowledge Proof. IEEE ICBC 2021: 1-5 - 2020
- [i1]Wanxin Li, Collin Meese, Hao Guo, Mark M. Nejad:
Blockchain-enabled Identity Verification for Safe Ridesharing Leveraging Zero-Knowledge Proof. CoRR abs/2010.14037 (2020)
Coauthor Index
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