5 citations · 14 across the 12 of their papers we have counts for
3 papers · 1 filter
Federated Learning with Heterogeneous Labels and Models for Mobile Activity Monitoring
Gautham Krishna Gudur, Satheesh K. Perepu
Various health-care applications such as assisted living, fall detection, etc., require modeling of user behavior through Human Activity Recognition (HAR). Such applications demand…
Resource-Constrained Federated Learning with Heterogeneous Labels and Models
Gautham Krishna Gudur, Bala Shyamala Balaji, Satheesh K. Perepu
Various IoT applications demand resource-constrained machine learning mechanisms for different applications such as pervasive healthcare, activity monitoring, speech recognition, r…
Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting
Satheesh K. Perepu, Bala Shyamala Balaji, Hemanth Kumar Tanneru +2
Ensemble models are powerful model building tools that are developed with a focus to improve the accuracy of model predictions. They find applications in time series forecasting in…