Energy-Harvesting Distributed Machine Learning

02/10/2021
by   Basak Guler, et al.
0

This paper provides a first study of utilizing energy harvesting for sustainable machine learning in distributed networks. We consider a distributed learning setup in which a machine learning model is trained over a large number of devices that can harvest energy from the ambient environment, and develop a practical learning framework with theoretical convergence guarantees. We demonstrate through numerical experiments that the proposed framework can significantly outperform energy-agnostic benchmarks. Our framework is scalable, requires only local estimation of the energy statistics, and can be applied to a wide range of distributed training settings, including machine learning in wireless networks, edge computing, and mobile internet of things.

READ FULL TEXT
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

page 2

page 3

page 4

02/22/2021

Sustainable Federated Learning

Potential environmental impact of machine learning by large-scale wirele...
09/02/2018

Towards an Intelligent Edge: Wireless Communication Meets Machine Learning

The recent revival of artificial intelligence (AI) is revolutionizing al...
10/02/2019

Energy Harvesting in 5G Networks: Taxonomy, Requirements, Challenges, and Future Directions

Consciousness of energy saving is increasing in fifth-generation (5G) wi...
08/17/2020

Wireless Powered Mobile Edge Computing: Offloading Or Local Computation?

Mobile-edge computing (MEC) and wireless power transfer are technologies...
04/26/2021

Simultaneous Wireless Information and Power Transfer for Federated Learning

In the Internet of Things, learning is one of most prominent tasks. In t...
01/06/2021

Toward Location-aware In-body Terahertz Nanonetworks with Energy Harvesting

Nanoscale wireless networks are expected to revolutionize a variety of d...
07/20/2017

Machine Learning for Quantum Dynamics: Deep Learning of Excitation Energy Transfer Properties

Understanding the relationship between the structure of light-harvesting...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.