Contrastive learning flagged fewer anomalies in an energy dataset than k-means or skewness, but the paper does not show that this reduces energy use in 6G network slicing.
Sixth Generation Enabling Technologies and Machine Learning Intersection: A Performance Optimization Perspective.Future Internet, 17(2):50, February 2025
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Towards Sustainability in 6G Network Slicing with Energy-Saving and Optimization Methods
Contrastive learning flagged fewer anomalies in an energy dataset than k-means or skewness, but the paper does not show that this reduces energy use in 6G network slicing.