2 papers
cs.LG2026
GAPSL: A Gradient-Aligned Parallel Split Learning over Data-Heterogeneous Edge Computing Systems
Zheng Lin, Ons Aouedi, Zihan Fang +4
The increasing complexity of neural networks poses significant challenges for democratizing federated learning (FL) on resource-constrained edge devices. Parallel split learning (P…
cs.NI2025
Towards Scalable O-RAN Resource Management: Graph-Augmented Proximal Policy Optimization
Duc-Thinh Ngo, Kandaraj Piamrat, Ons Aouedi +2
Open Radio Access Network (O-RAN) architectures enable flexible, scalable, and cost-efficient mobile networks by disaggregating and virtualizing baseband functions. However, this f…