SenSys

2023

• FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data.

2022

• FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices.

• TailorFL: Dual-Personalized Federated Learning under System and Data Heterogeneity.

• Generative Personalized Federated Learning Framework for Travel Time Estimation.

• PFed-LDP: A Personalized Federated Local Differential Privacy Framework for IoT Sensing Data.

• Federated Learning Biases in Heterogeneous Edge-Devices: A Case-Study.

2021

• FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition.

• FedMask: Joint Computation and Communication-Efficient Personalized Federated Learning via Heterogeneous Masking.