Work

The Case for Micro Foundation Models to Support Robust Edge Intelligence

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Cognitive Machine Intelligence (CogMI)

DOI: 10.1109/cogmi62246.2024.00014

Authors: Tomoyoshi Kimura, Ashitabh Misra, Yizhuo Chen, Denizhan Kara, Jinyang Li, Tianshi Wang, Ruijie Wang, Joydeep Bhattacharyya, Jae Kim, Prashant Shenoy, Mani Srivastava, Maggie Wigness, Tarek Abdelzaher

Institutions: University of Illinois Urbana-Champaign, DEVCOM Army Research Laboratory, United States Army Combat Capabilities Development Command, United States Army, University of Massachusetts Amherst, University of California, Los Angeles

Language: English

Topic: Domain Adaptation and Few-Shot Learning

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4406460155

FWCI: 1.519

Cites: 48

Cited by: 5

Related to: 10