Woongjae Han

Hyperdimensional Computing-Based Federated Learning in Mobile Robots Through Synthetic Oversampling

Traditional federated learning frameworks, often reliant on deep neural networks, face challenges related to computational demands and privacy risks. In this paper, we present a novel Hyperdimensional (HD) Computing-based federated learning framework designed for resource-constrained mobile robots.