Energy-efficient offloading for mobile edge computing in 5G heterogeneous networks K Zhang, Y Mao, S Leng, Q Zhao, L Li, X Peng, L Pan, S Maharjan, ... IEEE access 4, 5896-5907, 2016 | 961 | 2016 |
Computation offloading and resource allocation for cloud assisted mobile edge computing in vehicular networks J Zhao, Q Li, Y Gong, K Zhang IEEE Transactions on Vehicular Technology 68 (8), 7944-7956, 2019 | 757 | 2019 |
Mobile-edge computing for vehicular networks: A promising network paradigm with predictive off-loading K Zhang, Y Mao, S Leng, Y He, Y Zhang IEEE vehicular technology magazine 12 (2), 36-44, 2017 | 720 | 2017 |
Blockchain empowered asynchronous federated learning for secure data sharing in internet of vehicles Y Lu, X Huang, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Vehicular Technology 69 (4), 4298-4311, 2020 | 598 | 2020 |
Digital twin networks: A survey Y Wu, K Zhang, Y Zhang IEEE Internet of Things Journal 8 (18), 13789-13804, 2021 | 564 | 2021 |
Low-latency federated learning and blockchain for edge association in digital twin empowered 6G networks Y Lu, X Huang, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Industrial Informatics 17 (7), 5098-5107, 2020 | 420 | 2020 |
Optimal delay constrained offloading for vehicular edge computing networks K Zhang, Y Mao, S Leng, S Maharjan, Y Zhang 2017 IEEE International Conference on Communications (ICC), 1-6, 2017 | 331 | 2017 |
Deep learning empowered task offloading for mobile edge computing in urban informatics K Zhang, Y Zhu, S Leng, Y He, S Maharjan, Y Zhang IEEE Internet of Things Journal 6 (5), 7635-7647, 2019 | 308 | 2019 |
Mobile edge computing and networking for green and low-latency Internet of Things K Zhang, S Leng, Y He, S Maharjan, Y Zhang IEEE Communications Magazine 56 (5), 39-45, 2018 | 278 | 2018 |
Cooperative content caching in 5G networks with mobile edge computing K Zhang, S Leng, Y He, S Maharjan, Y Zhang IEEE Wireless Communications 25 (3), 80-87, 2018 | 275 | 2018 |
Edge intelligence and blockchain empowered 5G beyond for the industrial Internet of Things K Zhang, Y Zhu, S Maharjan, Y Zhang IEEE network 33 (5), 12-19, 2019 | 270 | 2019 |
A hierarchical blockchain-enabled federated learning algorithm for knowledge sharing in internet of vehicles H Chai, S Leng, Y Chen, K Zhang IEEE Transactions on Intelligent Transportation Systems 22 (7), 3975-3986, 2020 | 267 | 2020 |
Deep reinforcement learning for stochastic computation offloading in digital twin networks Y Dai, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Industrial Informatics 17 (7), 4968-4977, 2020 | 244 | 2020 |
Deep reinforcement learning and permissioned blockchain for content caching in vehicular edge computing and networks Y Dai, D Xu, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Vehicular Technology 69 (4), 4312-4324, 2020 | 239 | 2020 |
Communication-efficient federated learning and permissioned blockchain for digital twin edge networks Y Lu, X Huang, K Zhang, S Maharjan, Y Zhang IEEE Internet of Things Journal 8 (4), 2276-2288, 2020 | 235 | 2020 |
Collaborative task offloading in vehicular edge multi-access networks G Qiao, S Leng, K Zhang, Y He IEEE Communications Magazine 56 (8), 48-54, 2018 | 228 | 2018 |
Adaptive digital twin and multiagent deep reinforcement learning for vehicular edge computing and networks K Zhang, J Cao, Y Zhang IEEE Transactions on Industrial Informatics 18 (2), 1405-1413, 2021 | 227 | 2021 |
Communication-efficient federated learning for digital twin edge networks in industrial IoT Y Lu, X Huang, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Industrial Informatics 17 (8), 5709-5718, 2020 | 227 | 2020 |
Deep reinforcement learning for resource protection and real-time detection in IoT environment W Liang, W Huang, J Long, K Zhang, KC Li, D Zhang IEEE Internet of Things Journal 7 (7), 6392-6401, 2020 | 181 | 2020 |
Edge intelligence for energy-efficient computation offloading and resource allocation in 5G beyond Y Dai, K Zhang, S Maharjan, Y Zhang IEEE Transactions on Vehicular Technology 69 (10), 12175-12186, 2020 | 173 | 2020 |