4 papers
FedMHAR: Federated Multimodal Human Activity Recognition using Multi-Agent Reinforcement Learning
Debasmita Dey, Tanmay Sen, Himel Mallick
Human Activity Recognition (HAR) from heterogeneous wearable sensors is fundamental to the Internet of Health Things (IoHT), supporting rehabilitation, elderly care, and smart heal…
BVFLMSP : Bayesian Vertical Federated Learning for Multimodal Survival with Privacy
Abhilash Kar, Basisth Saha, Tanmay Sen +1
Multimodal time-to-event prediction often requires integrating sensitive data distributed across multiple parties, making centralized model training impractical due to privacy cons…
GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR
Labani Halder, Tanmay Sen, Sarbani Palit
Human Activity Recognition (HAR) using multimodal sensor data remains challenging due to noisy or incomplete measurements, scarcity of labeled examples, and privacy concerns. Tradi…
MHARFedLLM: Multimodal Human Activity Recognition Using Federated Large Language Model
Asmit Bandyopadhyay, Rohit Basu, Tanmay Sen +1
Human Activity Recognition (HAR) plays a vital role in applications such as fitness tracking, smart homes, and healthcare monitoring. Traditional HAR systems often rely on single m…