AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Results show that lightweight domain adaptation with automated instruction tuning is an effective and scalable approach for specialized agricultural AI.
A personalized federated sparse adaptation framework with a heterogeneous temporal mixture-of-experts (MoE) adapter placed after the pretrained TSFM representation, showing that federated TSFM adaptation should be both client-aware and backbone-aware.
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