Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective J Xu, H Wang IEEE Transactions on Wireless Communications 20 (2), 1188-1200, 2020 | 348 | 2020 |
Bandwidth allocation for multiple federated learning services in wireless edge networks J Xu, H Wang, L Chen IEEE transactions on wireless communications 21 (4), 2534-2546, 2021 | 41 | 2021 |
Friends to help: Saving federated learning from client dropout H Wang, J Xu 2024 International Conference on Acoustics, Speech and Signal Processing …, 2023 | 14 | 2023 |
On the Local Cache Update Rules in Streaming Federated Learning H Wang, J Bian, J Xu IEEE Internet of Things Journal, 2023 | 3 | 2023 |
Reachability analysis of dual active bridge DC-DC converters H Wang, Z Tang, Y Li, P Zhang 2019 IEEE Energy Conversion Congress and Exposition (ECCE), 3723-3728, 2019 | 2 | 2019 |
Online Vertical Federated Learning for Cooperative Spectrum Sensing H Wang, J Xu arXiv preprint arXiv:2312.11363, 2023 | 1 | 2023 |
Reachability analysis of power electronic converters H Wang | 1 | 2019 |
Computation and Communication Efficient Lightweighting Vertical Federated Learning H Wang, J Bian, L Wang arXiv preprint arXiv:2404.00466, 2024 | | 2024 |
Online Optimization for Federated Learning with Streaming Data H Wang https://scholarship.miami.edu/esploro/outputs/991032012920202976, 2024 | | 2024 |