Deploying DNNs in P4 switches seemed impossible—until we distilled them into cascaded LUTs. The result? Lossless accuracy, wirespeed performance, and 96% less memory than traditional methods. In-network AI just got real. 🌟 Follow us on LinkedIn! Check the updates…
P4 switches weren’t built for DNNs—but our LUT distillation changes that. By mapping neurons to flow tables, we enable complex AI models in hardware-constrained pipelines, with no accuracy loss. Tested on DDoS detection, it’s faster and leaner than GPU offloading.…
Hardware P4 switches lack ALUs and fast stateful memory, making DNN deployment impossible—until now. Our cascaded LUT distillation maps any DNN into lookup tables, enabling wirespeed inference with no performance loss. Tested on DDoS mitigation, it achieves 93% F1-score with…
Not all QUIC features are beneficial for latency. Our findings reveal that stream cancellation can unexpectedly increase the Age of Information (AoI). In-depth analysis inside. 🌟 Follow us on LinkedIn! https://www.linkedin.com/company/clever-project/?viewAsMember=true 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You…
QUIC’s concurrent streams can reduce peak AoI from 2s (TCP) to 400ms, making low-latency edge applications more feasible. 🌟 Follow us on LinkedIn! https://www.linkedin.com/company/clever-project/?viewAsMember=true 🌟 Check the updates from the website: www.cleverproject.eu 🌟 You can read the post on our website:…
