Work

Private and Efficient Learning With Hyperdimensional Computing

Year: 2024

Type: article

Source: IEEE transactions on circuits and systems for artificial intelligence.

DOI: 10.1109/tcasai.2024.3481193

Authors: Behnam Khaleghi, Xiaofan Yu, Jaeyoung Kang, Xuan Wang, Tajana Rosing

Institution: University of California San Diego

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: National Science Foundation

Awards: FET: Small: Brain-Inspired Hyperdimensional Computing for IoT Applications, AI Institute for Learning-Enabled Optimization at Scale (TILOS), CC* NPEO: Toward the National Research Platform, CCRI: ABR: Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI), Category II: A Prototype National Research Platform, IUCRC Phase I University of California, San Diego: Center for Power Management Integration (PMIC), Collaborative Research: MLWiNS: Hyperdimensional Computing for Scalable IoT Intelligence Beyond the Edge

OpenAlex ID: W4403448014

FWCI: 0.887

Cites: 57

Cited by: 6

Related to: 10