Zhou, Zhi

Edge Intelligence: Paving the Last Mile of Artificial Intelligence With Edge Computing

Zhou, Z., Chen, X., Li, E., Zeng, L., Luo, K., & Zhang, J. (2019) · Proceedings of the IEEE

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 2,455

Edge AI: On-Demand Accelerating Deep Neural Network Inference via Edge Computing

Li, E., Zeng, L., Zhou, Z., & Chen, X. (2020) · IEEE Transactions on Wireless Communications

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 929

FedHome: Cloud-Edge Based Personalized Federated Learning for In-Home Health Monitoring

Wu, Q., Chen, X., Zhou, Z., & Zhang, J. (2022) · IEEE Transactions on Mobile Computing

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 392

Edge Intelligence: On-Demand Deep Learning Model Co-Inference with Device-Edge Synergy

Li, E., Zhou, Z., & Chen, X. (2018) · Proceedings of the 2018 Workshop on Mobile Edge Communications

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 385

Boomerang: On-Demand Cooperative Deep Neural Network Inference for Edge Intelligence on the Industrial Internet of Things

Zeng, L., Li, E., Zhou, Z., & Chen, X. (2019) · IEEE Network

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 159

CEFL: Online Admission Control, Data Scheduling, and Accuracy Tuning for Cost-Efficient Federated Learning Across Edge Nodes

Zhou, Z., Yang, S., Pu, L., & Yu, S. (2020) · IEEE Internet of Things Journal

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 77