A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)
Keywords:Federated Learning, Distributed Machine Learning, Mobile Relay, Machine Learning, Iot, Edge
AbstractThe paper proposes a Serverless and Mobile relay based architecture for a highly scalable Federated Learning system for low power IoT and Edge Devices. The aim is an easily deployable infrastructure on a public cloud platform by the end user and democratize the use of federated learning.
How to Cite
Ahuja, A., Gupta, G., & Kundu, S. (2021). A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract). Proceedings of the AAAI Conference on Artificial Intelligence, 35(18), 15747-15748. Retrieved from https://ojs.aaai.org/index.php/AAAI/article/view/17870
AAAI Student Abstract and Poster Program