2 papers
cs.LG2026
TL++: Accuracy and Privacy Preserving Traversal Learning for Distributed Intelligent Systems
Erdenebileg Batbaatar, Young Yoon
Distributed intelligent systems increasingly need to train across data silos without centralizing raw data. Federated learning keeps data local but can suffer under heterogeneous p…
cs.LG2025
Traversal Learning: A Lossless And Efficient Distributed Learning Framework
Erdenebileg Batbaatar, Jeonggeol Kim, Yongcheol Kim +1
In this paper, we introduce Traversal Learning (TL), a novel approach designed to address the problem of decreased quality encountered in popular distributed learning (DL) paradigm…