We are now well past the era of the desktop computer. Trends towards miniaturization, wireless communication, and increased sensing and control capabilities have led to a variety of systems that distribute computation, sensing, and controls across multiple devices. Examples include wireless sensor networks, multi-robot systems, networks of smartphones, and large area networks.
Machine learning problems in these non-traditional settings cannot faithfully be viewed in terms of a data set and an objective function to optimize; physical aspects of the system impose challenging new constraints. Resources for computation and actuation may be limited and distributed across many nodes, requiring significant coordination; limited communication resources can make this coordination expensive. The scale and complexity of these systems often leads to large amounts of structured data that make state estimation challenging. In addition, these systems often have other constraints, such as limited power, or under-actuation, requiring reasoning about the system itself during learning and control. Furthermore, large-scale distributed systems are often unreliable, requiring algorithms that are robust to failures and lossy communication.
New learning, inference, and control algorithms that address these challenges are required. This workshop aims to bring together researchers to discuss new applications of machine learning in these systems, the challenges that arise, and emerging solutions.
This one-day workshop will consist of invited talks and talks based upon submitted abstracts, with some time set aside for discussion. Our (tentative) invited speakers are:
Researchers working at the interface between machine learning and non-traditional computer architectures are invited to submit descriptions of their research for presentation at the workshop. Of particular relevance is research on the following topics:
We especially encourage submissions that address unique challenges posed by non-traditional architectures for computation, such as
Submissions should be extended abstracts in PDF format which are no longer than three (3) pages long in 10pt or larger font. Submissions may be e-mailed to firstname.lastname@example.org with the subject "IBD SUBMISSION". We plan to accept four to six submissions for 25 minute presentation slots. In your submission please indicate if you would present a poster of your work (in case there are more qualified submissions than speaking slots).
|Call for participation:||Wednesday, August 31, 2005|
|Extended submission deadline:||Friday, October 21, 2005 11:59 PM PST|
|Acceptance notification:||Tuesday, November 1, 2005|
|Workshop:||Friday, December 9, 2005|
For more information regarding the workshop program, see the NIPS 2005 Conference website.
Please direct any inquiries regarding the workshop to email@example.com.