Wang, Shiqiang

Adaptive Federated Learning in Resource Constrained Edge Computing Systems

Wang, S., Tuor, T., Salonidis, T., Leung, K. K., Makaya, C., He, T., & Chan, K. (2019) · IEEE Journal on Selected Areas in Communications

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 2,232

A Survey on Federated Learning for Resource-Constrained IoT Devices

Imteaj, A., Thakker, U., Wang, S., Li, J., & Amini, M. H. (2022) · IEEE Internet of Things Journal

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 774

Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling

Luo, B., Xiao, W., Wang, S., Huang, J., & Tassiulas, L. (2022) · IEEE INFOCOM 2022 - IEEE Conference on Computer Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 229

When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning

Wang, S., Tuor, T., Salonidis, T., Leung, K. K., Makaya, C., He, T., & Chan, K. (2018) · IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

Privacy-Preserving Technologies in DataStochastic Gradient Optimization Techniques

Cited by 209

Federated Learning for Resource-Constrained IoT Devices: Panoramas and State of the Art

Imteaj, A., Mamun Ahmed, K., Thakker, U., Wang, S., Li, J., & Amini, M. H. (2023) · Adaptation, Learning, and Optimization

Privacy-Preserving Technologies in DataIoT and Edge/Fog Computing

Cited by 86

Demo abstract: Distributed machine learning at resource-limited edge nodes

Tuor, T., Wang, S., Salonidis, T., Ko, B. J., & Leung, K. K. (2018) · IEEE INFOCOM 2018 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS)

IoT and Edge/Fog ComputingPrivacy-Preserving Technologies in Data

Cited by 32