Ma, Xiaoqiang

Deep learning for edge computing applications: A State-of-the-Art survey

Wang, F., Zhang, M., Wang, X., Ma, X., & Liu, J. (2020) · IEEE Access

IoT and Edge/Fog ComputingAdvanced Neural Network Applications

Cited by 259

FedEraser: Enabling Efficient Client-Level Data Removal from Federated Learning Models

Liu, G., Ma, X., Yang, Y., Wang, C., & Liu, J. (2021) · 2021 IEEE/ACM 29th International Symposium on Quality of Service (IWQOS)

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 248

When deep learning meets edge computing

Huang, Y., Ma, X., Fan, X., Liu, J., & Gong, W. (2017) · 2017 IEEE 25th International Conference on Network Protocols (ICNP)

IoT and Edge/Fog ComputingEnergy Efficiency in Computing

Cited by 89

Task Scheduling with Optimized Transmission Time in Collaborative Cloud-Edge Learning

Huang, Y., Zhu, Y., Fan, X., Ma, X., Wang, F., Liu, J., Wang, Z., & Cui, Y. (2018) · 2018 27th International Conference on Computer Communication and Networks (ICCCN)

IoT and Edge/Fog ComputingCloud Computing and Resource Management

Cited by 36