AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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Neuroevolution is established as a competitive alternative to RL under continual task changes, and it is suggested that training under perturbations in weight space may be a useful mechanism for continual learning more broadly.
This work proposes Z-PEFT, a lightweight meta-classifier that relies exclusively on layer-wise spectral measures for classification, and achieves the best performance while maintaining low and scalable computational cost among weight-space detectors.
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