AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This paper formulate PML pretraining as a relation disambiguation problem and proposes a confidence-aware relation contrastive learning framework, which improves subset accuracy and F1-oriented measures under moderate and severe partial-label noise.
Split Learning (SL) enables collaborative model training by distributing computation between resource-constrained mobile edge devices and a central server. In this distributed framework, mobile edge devices compute the early layers of the model and transmit feature maps to the server. However, due to practical mobile w...
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