On-device research index

arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,695 papers · 148 categories

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3 results for “TinyML”

Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Reviewstat.ML

Review of efficient neural networks for TinyML on resource-constrained devices.

problem Resource constraints on ultra-low power MCUs for deep learning models.

method Model compression, quantization, low-rank factorization, model pruning, hardware acceleration, algorithm-architecture co-design.

result Optimized neural network architectures for minimal resource utilization on MCUs.

TinyML Efficient Neural Networks Resource Constraints Deep Learning Ultra-Low Power MCUs

2023-11-20abs ↗pdf ↗

TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detectioncs.CR

TinyML models detect RF and cyber threats in spacecraft with low latency.

problem Detecting cyber-RF threats in autonomous spacecraft with low latency.

method Analysis of classical models (RF, LR, SVM, MLP) for latency-accuracy trade-offs.

result Logistic Regression achieves microsecond-level inference with minimal accuracy loss.

TinyML cybersecurity autonomous spacecraft RF threats Latency

2026-06-04abs ↗pdf ↗

Once-for-All Channel Mixers (HYPERTINYPW): Generative Compression for TinyMLcs.LG

Generative compression technique reduces neural network size and improves performance on microcontrollers.

problem Memory constraints on microcontrollers limit the size of neural networks, especially for 1x1 pointwise (PW) mixers.

method HYPER-TINYPW uses a shared micro-MLP to generate PW kernels from tiny per-layer codes, reducing memory usage.

result HYPER-TINYPW achieves comparable performance to larger models while being significantly smaller (225 kB vs 1.4 MB).

compression microcontrollers neural networks 1x1 pointwise generative models

2026-03-26abs ↗pdf ↗