AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This study explores an alternative condition-free analysis for the clustering quality of DCSC from a pure spectral view, without any random graph models, and proposes ASCENT (Adaptive Spectral Clustering with Node-wise correcTion), a simple yet effective extension of DCSC.
This work proposes FlatLand, a novel personalized federated learning method that embeds different clients'data in tailored Lorentz space of hyperbolic geometry, and develops a parameter decoupling strategy that separates heterogeneous information from common knowledge, enabling direct aggregation without requiring clie...
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