2025
OSR: Toward Developing Efficient Federated Learning-based Human Activity Recognition using Optimal Server Representations
ICASSP 2025accepted
Federated Learning (FL) is a privacy-preserving algorithm that enables multiple clients to collaboratively train a global model without sharing their local data. This learning algorithm is particularly valuable in privacy-sensitive applications such as Human Activity Recognition (HAR), where users a…