DNS over CoAP with packet length equalization, block-wise transfer, header and payload compression reduces DNS identification accuracy to 77-86% in constrained IoT scenarios, outperforming DNS over HTTPS.
Fragment Forwarding in Lossy Networks,
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A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.
citing papers explorer
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Secrets Best Not Shared: DNS Privacy Enhancements for the Constrained IoT
DNS over CoAP with packet length equalization, block-wise transfer, header and payload compression reduces DNS identification accuracy to 77-86% in constrained IoT scenarios, outperforming DNS over HTTPS.
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What changes after deployment? A survey on On-device Learning in TinyML
A survey of on-device learning in TinyML organized by distribution change regimes, highlighting influences on applications, hardware, and solutions plus a gap between benchmarks and deployments.