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SPA: Faster FHE Activation Approximation for Private ML Inference

  • Engineer — Learn: Relevant only if building privacy-preserving ML inference pipelines under FHE; SPA reduces polynomial approximation latency for GELU/SiLU activations, but this is foundational research with no immediate deployment artifact or patching action.
  • SOC/IR — Skip
  • Leader — Skip
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