Jingjing Wang

FVCC: Enabling Fast and Verifiable Coded Computation for Robust Distributed Learning

Distributed Learning (DL) is a fundamental paradigm for large-scale model training in mobile and edge computing. However, its practical adoption is often plagued by performance degradation due to straggler and Byzantine nodes, compromising overall robustness and efficiency. Although coded computing provides theoretical...