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.

168,742 papers · 148 categories

Trend · papers per month

count % of corpus

6 results for “AIoT”

Deep Reinforcement Learning for Autonomous Internet of Things: Model, Applications and Challengescs.LG

The Internet of Things (IoT) extends the Internet connectivity into billions of IoT devices around the world, where the IoT devices collect and share information to reflect status of the physical world. The Autonomous Control System (ACS), on the other hand, performs control functions on the physical systems without ex…

2019-07-22abs ↗pdf ↗

Animal behavior classification via deep learning on embedded systemscs.LG

Deep learning classifies animal behavior from wearable accelerometers.

problem Classifying animal behavior from accelerometer data.

method End-to-end deep neural network with IIR and FIR filters.

result Outperforms state-of-the-art algorithms in real-time classification.

animal behavior deep learning wearable accelerometry AIoT

2021-11-24abs ↗pdf ↗

Pairwise Neural Networks (PairNets) with Low Memory for Fast On-Device Applicationscs.LG

PairNets optimize AI models for fast IoT applications.

problem Slow training and high memory usage of deep neural networks.

method Developed Pairwise Neural Networks (PairNets) with low memory and fast training.

result PairNets achieve faster training (one epoch) and lower prediction errors.

Pairwise Neural Networks AIoT IoT applications fast training memory efficiency

2020-02-10abs ↗pdf ↗

FLBench: A Benchmark Suite for Federated Learningcs.LG

FLBench automates federated learning benchmarking.

problem Manual dataset partitioning fails to simulate real-world isolated data islands.

method Develops a federated learning benchmark suite with three domains.

result Automates evaluation of federated learning systems and algorithms.

federated learning benchmark suite automated deployment medical domain financial domain

2020-08-17abs ↗pdf ↗

DoPa: A Comprehensive CNN Detection Methodology against Physical Adversarial Attackscs.CR

Recently, Convolutional Neural Networks (CNNs) demonstrate a considerable vulnerability to adversarial attacks, which can be easily misled by adversarial perturbations. With more aggressive methods proposed, adversarial attacks can be also applied to the physical world, causing practical issues to various CNN powered a…

2019-05-21abs ↗pdf ↗

Time Series Anomaly Detection for Cyber-Physical Systems via Neural System Identification and Bayesian Filteringcs.LG

NSIBF detects anomalies in CPS using neural system identification and Bayesian filtering.

problem Detecting anomalies in CPS with complex dynamics and sensor noise.

method Neural System Identification and Bayesian Filtering (NSIBF).

result NSIBF outperforms state-of-the-art methods in anomaly detection for CPS.

cyber-physical systems anomaly detection neural network Bayesian filtering time series

2021-06-15abs ↗pdf ↗