A scheme for privacy-preserving learning on Tiny Devices.
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Updated
Jan 12, 2022 - C++
A scheme for privacy-preserving learning on Tiny Devices.
This repository contains the spreadsheet of the quantitative analysis performed for the paper "Suitability of Forward-Forward and PEPITA Learning to MLCommons-Tiny benchmarks".
Cactus Needle Agentic LLM for tiny devices test
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