14–17 Oct 2019

Bargava Subramanian
Cofounder, Deep Learning Engineer, Binaize

Bargava Subramanian is a cofounder and deep learning engineer at Binaize in Bangalore, India. He has 15 years’ experience delivering business analytics and machine learning solutions to B2B companies. He mentors organizations in their data science journey. He holds a master’s degree from the University of Maryland, College Park. He’s an ardent NBA fan.

Sessions

16:00–16:40 Thursday, 17 October 2019

Location: Blenheim Room - Palace Suite

Anomaly detection in smart buildings using federated learning

Models and Methods

Secondary topics: Data, Data Networks, Data Quality, Ethics, Security, and Privacy, Machine Learning, Machine Learning tools, Mobile Computing, IoT, Edge

Tuhin Sharma (Binaize), Bargava Subramanian (Binaize)

Average rating:

(4.50, 2 ratings)

There's an exponential growth in the number of internet-enabled devices on modern smart buildings. IoT sensors measure temperature, lighting, IP camera, and more. Tuhin Sharma and Bargava Subramanian explain how they built anomaly-detection models using federated learning—which is privacy preserving and doesn't require data to be moved to the cloud—for data quality and cybersecurity. Read more.