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cs.LG2026
Spatiotemporal Graph Transformer for Traffic Intelligence in Edge Computing
Laha Ale, Letian Lin, Na Cao +2
Accurate traffic forecasting is essential for proactive resource management in edge computing, where service demand evolves dynamically across both space and time. In practical cel…
cs.LG2026
Switchable Activation Networks
Laha Ale, Ning Zhang, Scott A. King +1
Deep neural networks, and more recently large-scale generative models such as large language models (LLMs) and large vision-action models (LVAs), achieve remarkable performance acr…
cs.LG2026
Lightweight Edge Learning via Dataset Pruning
Laha Ale, Hu Luo, Mingsheng Cao +3
Edge learning facilitates ubiquitous intelligence by enabling model training and adaptation directly on data-generating devices, thereby mitigating privacy risks and communication…