The Kolb Learning Cycle is a popular model of experiential learning in which agents move through four phases: experimentation, concretization, observation, and conceptualization. This model is a ...
Abstract: Recent years have witnessed remarkable advances in spatiotemporal predictive learning, with methods incorporating auxiliary inputs, complex neural architectures, and sophisticated training ...
Abstract: Federated learning (FL) offers innovative solutions for privacy-preserving distributed machine learning (ML). Different from centralized data collection algorithms, FL enables participants ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results