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Yutao Jiao
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Federated learning in mobile edge networks: A comprehensive survey
WYB Lim, NC Luong, DT Hoang, Y Jiao, YC Liang, Q Yang, D Niyato, ...
IEEE Communications Surveys & Tutorials 22 (3), 2031-2063, 2020
7582020
Auction mechanisms in cloud/fog computing resource allocation for public blockchain networks
Y Jiao, P Wang, D Niyato, K Suankaewmanee
IEEE Transactions on Parallel and Distributed Systems 30 (9), 1975-1989, 2019
1552019
Social welfare maximization auction in edge computing resource allocation for mobile blockchain
Y Jiao, P Wang, D Niyato, Z Xiong
2018 IEEE international conference on communications (ICC), 1-6, 2018
1392018
Spectrum inference in cognitive radio networks: Algorithms and applications
G Ding, Y Jiao, J Wang, Y Zou, Q Wu, YD Yao, L Hanzo
IEEE Communications Surveys & Tutorials 20 (1), 150-182, 2017
1302017
The accuracy-privacy trade-off of mobile crowdsensing
MA Alsheikh, Y Jiao, D Niyato, P Wang, D Leong, Z Han
IEEE Communications Magazine 55 (6), 132-139, 2017
632017
Toward an automated auction framework for wireless federated learning services market
Y Jiao, P Wang, D Niyato, B Lin, DI Kim
IEEE Transactions on Mobile Computing 20 (10), 3034-3048, 2020
512020
Profit maximization mechanism and data management for data analytics services
Y Jiao, P Wang, S Feng, D Niyato
IEEE Internet of Things Journal 5 (3), 2001-2014, 2018
452018
A machine-learning-based auction for resource trading in fog computing
NC Luong, Y Jiao, P Wang, D Niyato, DI Kim, Z Han
IEEE Communications Magazine 58 (3), 82-88, 2020
302020
Profit maximization auction and data management in big data markets
Y Jiao, P Wang, D Niyato, MA Alsheikh, S Feng
2017 IEEE Wireless Communications and Networking Conference (WCNC), 1-6, 2017
272017
Mobile device training strategies in federated learning: An evolutionary game approach
Y Zou, S Feng, D Niyato, Y Jiao, S Gong, W Cheng
2019 International Conference on Internet of Things (iThings) and IEEE Green …, 2019
162019
Joint spectral-temporal spectrum prediction from incomplete historical observations
G Ding, J Wang, Q Wu, L Yu, Y Jiao, X Gao
2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2014
142014
Mechanism design for wireless powered spatial crowdsourcing networks
Y Jiao, P Wang, D Niyato, B Lin, DI Kim
IEEE Transactions on Vehicular Technology 69 (1), 920-934, 2019
52019
Privacy is not free: energy-aware federated learning for mobile and edge intelligence
W Yang, Y Zhang, WYB Lim, Z Xiong, Y Jiao, J Jin
2020 International Conference on Wireless Communications and Signal …, 2020
42020
Spectrum prediction based on GAN and deep transfer learning: A cross-band data augmentation framework
F Lin, J Chen, G Ding, Y Jiao, J Sun, H Wang
China Communications 18 (1), 18-32, 2021
32021
Federated learning in mobile edge networks: a comprehensive survey. CoRR abs/1909.11875 (2019)
WYB Lim, NC Luong, DT Hoang, Y Jiao, Y Liang, Q Yang, D Niyato, ...
31909
UAV-enabled mobile radiation source tracking with deep reinforcement learning
J Gu, H Wang, G Ding, Y Xu, Y Jiao
2020 International Conference on Wireless Communications and Signal …, 2020
22020
Self-supervised pairing image clustering and its application in cyber manufacturing
W Dai, Y Jiao, M Erdt, A Sourin
2020 International Conference on Cyberworlds (CW), 25-32, 2020
12020
Security Enhancement for Multiple Multi-Antenna Relaying Networks
Y Yang, J Wang, Y Huang, J Chen, Y Jiao
2017 IEEE Globecom Workshops (GC Wkshps), 1-6, 2017
12017
A Stackelberg Incentive Mechanism for Wireless Federated Learning with Differential Privacy
Z Yi, Y Jiao, W Dai, G Li, H Wang, Y Xu
IEEE Wireless Communications Letters, 2022
2022
Adaptive Power Control for Cooperative Covert Communication with Partial Channel State Information
R He, G Li, H Wang, Y Jiao, J Cai
IEEE Wireless Communications Letters, 2022
2022
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