IEEE

Fully Distance-Guided Refinement Graph Convolutional Networks for Skeleton-Based Human Action Recognition

Abstract: Graph convolutional networks (GCNs) have obtained impressive performance on skeleton-based human action recognition tasks in recent years. In GCNs, how to capture discriminative spatial ...
University of North Georgia

Students research network security

Five students partnered with Dr. Ahmad Ghafarian, a UNG professor of computer science and cybersecurity, on the application ...
IEEE

Enabling Communication-efficient and Robust Federated Learning over Packet Lossy Networks via Random Interleaved Vector Quantization

In packet erasure networks, federated learning (FL) typically suffers more prohibitive communication overhead from massive retransmissions of high-dimensional gradients. As a result, recent studies ...