 A Two-Timescale Approach for Wireless Federated Learning with Parameter Freezing and Power ControlIEEE Transactions on Mobile Computing (IEEE TMC), 2025 |
 A Survey on Trustworthy Edge Intelligence: From Security and Reliability
To Transparency and SustainabilityIEEE Communications Surveys and Tutorials (COMST), 2023 |
 Over-the-Air Federated Averaging with Limited Power and Privacy BudgetsIEEE Transactions on Communications (IEEE Trans. Commun.), 2023 |
 Efficient Parallel Split Learning over Resource-constrained Wireless
Edge NetworksIEEE Transactions on Mobile Computing (IEEE TMC), 2023 |
 Energy and Spectrum Efficient Federated Learning via High-Precision
Over-the-Air ComputationIEEE Transactions on Wireless Communications (TWC), 2022 |
 Green, Quantized Federated Learning over Wireless Networks: An
Energy-Efficient DesignIEEE Transactions on Wireless Communications (TWC), 2022 |
 Towards Energy Efficient Federated Learning over 5G+ Mobile DevicesIEEE wireless communications (WC), 2021 |
