2025
Hyperdimensional Computing-Based Federated Learning in Mobile Robots Through Synthetic Oversampling
ICRA 2025
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.