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cs.LG2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning
Hongyang Li, Caesar Wu, Mohammed Chadli +2
Distributed learning (DL) uses multiple nodes to accelerate training, enabling efficient optimization of large-scale models. Stochastic Gradient Descent (SGD), a key optimization a…
cs.LG2024
Survey and Taxonomy: The Role of Data-Centric AI in Transformer-Based Time Series Forecasting
Jingjing Xu, Caesar Wu, Yuan-Fang Li +2
Alongside the continuous process of improving AI performance through the development of more sophisticated models, researchers have also focused their attention to the emerging con…
cs.LG2024
Transformer Multivariate Forecasting: Less is More?
Jingjing Xu, Caesar Wu, Yuan-Fang Li +1
In the domain of multivariate forecasting, transformer models stand out as powerful apparatus, displaying exceptional capabilities in handling messy datasets from real-world contex…