 Green Edge AI: A Contemporary SurveyProceedings of the IEEE (Proc. IEEE), 2023 |
 Understanding and Improving Model Averaging in Federated Learning on
Heterogeneous DataIEEE Transactions on Mobile Computing (IEEE TMC), 2023 |
 FedNC: A Secure and Efficient Federated Learning Method with Network
CodingIEEE Wireless Communications and Networking Conference (WCNC), 2023 |
 FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated
Learning for Split ModelsIACR Cryptology ePrint Archive (IACR ePrint), 2023 |
 FedFA: Federated Learning with Feature Anchors to Align Features and
Classifiers for Heterogeneous DataIEEE Transactions on Mobile Computing (IEEE TMC), 2022 |
 Stochastic Coded Federated Learning: Theoretical Analysis and Incentive
Mechanism DesignIEEE Transactions on Wireless Communications (TWC), 2022 |
 DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients
via Secret Data SharingNeural Information Processing Systems (NeurIPS), 2022 |
