AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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A bilevel optimization framework is proposed and it is proved, under some idealized conditions, that this framework can recover the DPO optimum under clean data and derive a prior form for the learnable weighting function under label-flipping noise.
Low Earth orbit (LEO) satellite networks exhibit rapidly changing topology and time-varying traffic hotspots, which makes hop-by-hop routing highly sensitive to local congestion and state staleness. Existing routing methods either rely on global path computation or use plain local observations, while graph-enhanced app...
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