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  • 2023
  • 2022
  • 2021
  1. 🥵ResearchHub
  2. 🫐Mobile

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.

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Last updated 1 year ago