Darly: Deep Reinforcement Learning for QoS-aware scheduling under resource heterogeneity Optimizing serverless video analytics Abstract: Today, video analytics are becoming extremely popular due to ...

The capacity of learning analytics platforms to collect troves of student data makes them both institutional necessities and ...

This paper introduces the Multi-Dimensional Spatio-Temporal Fusion Transformer (MDSTFT), a state-of-the-art deep learning framework designed to enhance multi-variate time series forecasting. The ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful ...

Framework-agnostic: Different machine learning frameworks have different strengths. Flower can be used with any machine learning framework, for example, PyTorch, TensorFlow, Hugging Face Transformers, ...