A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract)

Authors

  • Anshul Ahuja Indian Institute of Technology, Jodhpur
  • Geetesh Gupta Indian Institute of Technology, Jodhpur
  • Suman Kundu Indian Institute of Technology, Jodhpur

DOI:

https://doi.org/10.1609/aaai.v35i18.17870

Keywords:

Federated Learning, Distributed Machine Learning, Mobile Relay, Machine Learning, Iot, Edge

Abstract

The 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.
AAAI-21 Proceedings Cover

Downloads

Published

2021-05-18

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. https://doi.org/10.1609/aaai.v35i18.17870

Issue

Vol. 35 No. 18: AAAI-21 Student Papers and Demonstrations

Section

AAAI Student Abstract and Poster Program