Fedmsa: a model selection and adaptation system for federated learning

HIGHLIGHTS

• who: Rui Sun and colleagues from the School of Computing, Newcastle University, Newcastle upon Tyne , RU, UK have published the research work: FedMSA: A Model Selection and Adaptation System for Federated Learning, in the Journal: Sensors 2022, 22, 7244. of 18/08/2022
• what: The authors propose a model selection and adaptation system for Federated Learning (FedMSA) which includes a hardware-aware model selection algorithm that trades-off model training efficiency and model performance base on FL developers` expectation. The focus of this paper is on cross-device FL, which means the clients include a . . .
  

   

  

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