Workshop on Energy-Efficient Machine Learning

Advances in the machine learning (ML) and its deployment in a wide range of systems for various applications. This has stirred interest in the design of various devices ranging from cloud servers to miniature IoT devices equipped with smart capabilities with embedded ML. One of the major hurdles to be addressed for an efficient design of such systems is to managed the limited available resources. This Energy-Efficient Machine Learning (E2ML) workshop focuses on the design strategies to minimize the footprint and efficient management of resources through advanced computing techniques as well as resource management. The topics of interest to this workshop are:

- In-memory computing

- Neuromorphic computing

- Approximate computing for ML applications

- Power management for ML architectures

- Emerging memory technologies and its applicability in ML applications

- Spiking neural networks

- Learning algorithms on embedded systems

- Hardware-software cross-layer co-design

- Distributed ML algorithms and hardware for real-time performance

Any other relevant topic related to design of hardware for ML and optimizing ML for resource constrained systems is within the scope of the workshop. Papers that showcases interesting analysis regarding embedded ML and the possible ways to extend are also welcome.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. Full papers should be of length up to 6 single-spaced double-column pages using 10-point size font on 8.5x11 inch pages (IEEE conference style) including figures, tables, and references.

The IEEE templates can be found https://www.ieee.org/conferences/publishing/templates.html

Abstract registration deadline: August 19, 2019

Full paper submission deadline: August 26, 2019

Notification of acceptance: September 3, 2019

Final manuscript due: September 10, 2019

In order to submit you paper, send your manuscript to spudukot@gmu.edu

Publication

E2ML proceedings will be published in IEEE Explore as a part of IGSC 2019 proceedings.

Venue

The workshop will be co-located with IGSC Conference, held in Alexandria, VA USA

Contact

All questions about submissions should be directed to Sai Manoj at spudukot@gmu.edu