Session

· Contributors · Organizations · Search Program · My Agenda · Happening Now

Research Manuscript: Hyperdimensional Computing for Machine Learning

Session Chair

Shuhan Zhang

The University of Texas

Event TypeResearch Manuscript

Keywords

Topics

TimeTuesday, July 12th10:30am - 12:00pm PDT

Location3000, Level 3

DescriptionThis session presents four papers to design new HyperDimensional Computing techniques for addressing the important machine learning problems and accelerating the computational algorithms.

Presentations

10:30am - 10:52am PDT	HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance Authors Huanrui Yang Xiaoxuan Yang Neil Zhenqiang Gong Yiran Chen
10:52am - 11:15am PDT	Neural Computation for Robust and Holographic Face Detection Authors Mohsen Imani Ali Zakeri Hanning Chen TaeHyun Kim Prathyush Poduval Hyunsei Lee Yeseong Kim Elaheh Sadredini Farhad Imani
11:15am - 11:37am PDT	FHDnn: Communication Efficient and Robust Federated Learning for AIoT Networks Authors Rishikanth Chandrasekaran Kazim Ergun Jihyun Lee Dhanush Nanjunda Jaeyoung Kang Tajana Rosing
11:37am - 12:00pm PDT	ODHD: One-Class Hyperdimensional Computing for Outlier Detection Authors Ruixuan Wang Xun Jiao X. Sharon Hu