We invite researchers to submit papers related to on-device machine learning or any of the broad workshop themes in the following areas:
On-device ML Algorithms for efficient training/inference & privacy, including but not limited to
On-Device ML Frameworks & Hardware, including but not limited to
Applications of On-Device ML, including but not limited to
We invite three types of submissions:
Authors should submit anonymous extended abstracts of 2 to 4 pages and additional references in PDF format using the NIPS style. If the work appeared in a previous research venue (journal, workshop, or conference including NIPS 2018 conference), the workshop submission should extend that previous work.
This year submissions will be accepted as contributed talks, poster presentations or demos. Please specify submission type, if there is a preference (note: the final determination will be made by the committee after review).
Send (email) your submissions here: nips2018-on-device-ml@googlegroups.com