2 papers
cs.LG2026
TSNN: A Non-parametric and Interpretable Framework for Traffic Time Series Forecasting
Bowen Liu, Haijian Lai, Chan-Tong Lam +4
Although many complex models were proposed to analyze time series data, some studies have demonstrated remarkable performance with simpler structures. A recent study proposed a non…
cs.LG2025
Hierarchical Split Federated Learning: Convergence Analysis and System Optimization
Zheng Lin, Wei Wei, Zhe Chen +4
As AI models expand in size, it has become increasingly challenging to deploy federated learning (FL) on resource-constrained edge devices. To tackle this issue, split federated le…