Our paper “Hermes: An Efficient Federated Learning Framework for Heterogeneous Mobile Clients” has been accepted to MobiCom 2021!

News

• Our paper “Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective” has been accepted to NeurIPS 2021! September 29, 2021
• Our paper “FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking” has been accepted to SenSys 2021! September 24, 2021
• Our paper “Hermes: An Efficient Federated Learning Framework for Heterogeneous Mobile Clients” has been accepted to MobiCom 2021! August 20, 2021
• Our paper “Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective ” has been accepted to CVPR 2021! March 7, 2021
• Our paper “DeepObfuscator” has been accepted to IoTDI 2021! January 20, 2021
• Our paper ”Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G” has been accepted to EWSN 2021! January 20, 2021
• Ang received Best Student Paper Award from KDD’20. August 25, 2020