AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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This work proposes Spatially Contiguous Local Attention with Boundary Continuity Pathway (SCLA-BCP), which computes attention within non-overlapping regions of spatially adjacent tokens, while BCP facilitates cross-boundary information exchange through a lightweight convolutional pathway.
This work introduces a Temporal Feedback Coding (TFC) scheme that leverages feedback at the encoding stage to diversify spike patterns and designs a Global-Local Dynamic LIF (GLD-LIF) neuron that enhances cross-step dependency modeling by integrating local aggregation and global initialization.
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