ECE Associate Professor Waheed Bajwa is the recipient of a new NSF award for the project entitled “Distributed Machine Learning in the Age of Fast Data Streams.” This is a three-year $450,000 project.
In this project, Waheed will develop and analyze an algorithmic framework for real-time, in-network machine learning that acknowledges and accounts for the mismatch between the communications rate and the rate of distributed data streams in many emerging applications, such as Internet-of-Things (IoT) systems, multiagent systems, high-performance computing clusters, and federated computing systems, where continuous data gathering is cheap and communications is over infrastructure-free device-to-device and/or machine-to-machine links. The research will formalize this setting as a distributed stochastic approximation problem, in which the optimum machine learning model is iteratively trained using the random data streaming into individual devices and machines. The research will then focus on the design and analysis of collaborative strategies that operate in the regime of (extremely) fast streaming rates.
The project details can be found here: https://nsf.gov/awardsearch/showAward?AWD_ID=1907658
Congratulations Waheed!