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Zhilin Wang
Zhilin Wang
Ph.D. Candidate, Purdue University
Verified email at purdue.edu - Homepage
Title
Cited by
Cited by
Year
Blockchain-based federated learning: A comprehensive survey
Z Wang, Q Hu
arXiv preprint arXiv:2110.02182, 2021
722021
Incentive mechanism design for joint resource allocation in blockchain-based federated learning
Z Wang, Q Hu, R Li, M Xu, Z Xiong
IEEE Transactions on Parallel and Distributed Systems 34 (5), 1536-1547, 2023
372023
Blockchain and federated edge learning for privacy-preserving mobile crowdsensing
Q Hu, Z Wang, M Xu, X Cheng
IEEE Internet of Things Journal 10 (14), 12000-12011, 2021
282021
Blockchain-based edge resource sharing for metaverse
Z Wang, Q Hut, M Xu, H Jiang
2022 IEEE 19th International Conference on Mobile Ad Hoc and Smart Systems …, 2022
122022
Online-learning-based fast-convergent and energy-efficient device selection in federated edge learning
C Peng, Q Hu, Z Wang, RW Liu, Z Xiong
IEEE Internet of Things Journal 10 (6), 5571-5582, 2022
82022
Defense strategies toward model poisoning attacks in federated learning: A survey
Z Wang, Q Kang, X Zhang, Q Hu
2022 IEEE Wireless Communications and Networking Conference (WCNC), 548-553, 2022
72022
A correlated equilibrium based transaction pricing mechanism in blockchain
Q Hu, Y Nigam, Z Wang, Y Wang, Y Xiao
2020 IEEE International Conference on Blockchain and Cryptocurrency (ICBC), 1-7, 2020
62020
Transaction pricing mechanism design and assessment for blockchain
Z Wang, Q Hu, Y Wang, Y Xiao
High-Confidence Computing 2 (1), 100044, 2022
42022
Resource optimization for blockchain-based federated learning in mobile edge computing
Z Wang, Q Hu, Z Xiong, Y Liu, D Niyato
IEEE Internet of Things Journal, 2023
22023
Can We Trust the Similarity Measurement in Federated Learning?
Z Wang, Q Hu, X Zou
arXiv preprint arXiv:2311.03369, 2023
2023
PoFEL: Energy-efficient Consensus for Blockchain-based Hierarchical Federated Learning
S Li, Q Hu, Z Wang
arXiv preprint arXiv:2308.07840, 2023
2023
Straggler Mitigation and Latency Optimization in Blockchain-based Hierarchical Federated Learning
Z Wang, Q Hu, M Xu, Z Xiong
arXiv preprint arXiv:2308.01296, 2023
2023
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Articles 1–12