Sungmin Lee

AttFL: A Personalized Federated Learning Framework for Time-series Mobile and Embedded Sensor Data Processing

"This work presents AttFL, a federated learning framework designed to continuously improve a personalized deep neural network for efficiently analyzing time-series data generated from mobile and embedded sensing applications. To better characterize time-series data features and efficiently abstract model parameters, A…