TinyOL: TinyML with Online-Learning on Microcontrollers

15 March 2021

Papers citing "TinyOL: TinyML with Online-Learning on Microcontrollers"

47 / 47 papers shown

Title
TActiLE: Tiny Active LEarning for wearable devices Massimo Pavan Claudio Galimberti Manuel Roveri 19 0 0 02 May 2025
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning Hazem Hesham Yousef Shalby Manuel Roveri 55 0 0 03 Mar 2025
DEBUG-HD: Debugging TinyML models on-device using Hyper-Dimensional computing Nikhil P Ghanathe Steven J E Wilton 30 0 0 16 Nov 2024
Poor Man's Training on MCUs: A Memory-Efficient Quantized Back-Propagation-Free Approach Yequan Zhao Hai Li Ian Young Zheng-Wei Zhang MQ 37 2 0 07 Nov 2024
Skip2-LoRA: A Lightweight On-device DNN Fine-tuning Method for Low-cost Edge Devices Hiroki Matsutani Masaaki Kondo Kazuki Sunaga R. Marculescu 13 0 0 28 Oct 2024
A Continual and Incremental Learning Approach for TinyML On-device Training Using Dataset Distillation and Model Size Adaption Marcus Rüb Philipp Tuchel Axel Sikora Daniel Mueller-Gritschneder 23 3 0 11 Sep 2024
Advancing On-Device Neural Network Training with TinyPropv2: Dynamic, Sparse, and Efficient Backpropagation Marcus Rüb Axel Sikora Daniel Mueller-Gritschneder 32 1 0 11 Sep 2024
1-Bit FQT: Pushing the Limit of Fully Quantized Training to 1-bit Chang Gao Jianfei Chen Kang Zhao Jiaqi Wang Liping Jing MQ 38 2 0 26 Aug 2024
On-device Learning of EEGNet-based Network For Wearable Motor Imagery Brain-Computer Interface Sizhen Bian Pixi Kang Julian Moosmann Mengxi Liu Pietro Bonazzi Roman Rosipal Michele Magno 46 1 0 25 Aug 2024
Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors Manuele Rusci Francesco Paci Marco Fariselli Eric Flamand Tinne Tuytelaars 30 0 0 22 Aug 2024
Training on the Fly: On-device Self-supervised Learning aboard Nano-drones within 20 mW Elia Cereda Alessandro Giusti Daniele Palossi 29 0 0 06 Aug 2024
A Tiny Supervised ODL Core with Auto Data Pruning for Human Activity Recognition Hiroki Matsutani R. Marculescu SyDa 23 0 0 02 Aug 2024
StreamTinyNet: video streaming analysis with spatial-temporal TinyML Hazem Hesham Yousef Shalby Massimo Pavan Manuel Roveri 37 0 0 22 Jul 2024
On-Device Training of Fully Quantized Deep Neural Networks on Cortex-M Microcontrollers M. Deutel Frank Hannig Christopher Mutschler Jürgen Teich MQ 30 0 0 15 Jul 2024
Characterizing Disparity Between Edge Models and High-Accuracy Base Models for Vision Tasks Zhenyu Wang S. Nirjon 29 0 0 13 Jul 2024
On-Device Training Empowered Transfer Learning For Human Activity Recognition Pixi Kang Julian Moosmann Sizhen Bian Michele Magno 46 0 0 04 Jul 2024
TinySV: Speaker Verification in TinyML with On-device Learning Massimo Pavan Gioele Mombelli Francesco Sinacori Manuel Roveri 43 2 0 03 Jun 2024
On-device Online Learning and Semantic Management of TinyML Systems Haoyu Ren Xue Li Darko Anicic Thomas Runkler 42 3 0 13 May 2024
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case Fatemeh Dehrouyeh Li Yang F. Badrkhani Ajaei Abdallah Shami 33 6 0 25 Apr 2024
QCore: Data-Efficient, On-Device Continual Calibration for Quantized Models -- Extended Version David Campos Bin Yang Tung Kieu Miao Zhang Chenjuan Guo Christian S. Jensen 39 7 0 22 Apr 2024
Tiny Machine Learning: Progress and Futures Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Song Han 52 51 0 28 Mar 2024
On-Device Domain Learning for Keyword Spotting on Low-Power Extreme Edge Embedded Systems Cristian Cioflan Lukas Cavigelli Manuele Rusci Miguel de Prado Luca Benini 21 7 0 12 Mar 2024
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning Yoga Esa Wibowo Cristian Cioflan T. Ingolfsson Michael Hersche Leo Zhao Abbas Rahimi Luca Benini CLL 42 1 0 12 Mar 2024
Boosting keyword spotting through on-device learnable user speech characteristics Cristian Cioflan Lukas Cavigelli Luca Benini 40 3 0 12 Mar 2024
Lifelong Intelligence Beyond the Edge using Hyperdimensional Computing Xiaofan Yu Anthony Thomas Ivannia Gomez Moreno Louis Gutierrez Tajana Simunic 38 3 0 07 Mar 2024
On-device Self-supervised Learning of Visual Perception Tasks aboard Hardware-limited Nano-quadrotors Elia Cereda Manuele Rusci Alessandro Giusti Daniele Palossi 23 0 0 06 Mar 2024
Enabling On-device Continual Learning with Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Guido Borghi Stefano Santi MQ 44 5 0 18 Jan 2024
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 32 33 0 21 Sep 2023
TinyProp -- Adaptive Sparse Backpropagation for Efficient TinyML On-device Learning Marcus Rüb Daniel Maier Daniel Mueller-Gritschneder Axel Sikora 31 3 0 17 Aug 2023
TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge Young D. Kwon Rui Li Stylianos I. Venieris Jagmohan Chauhan Nicholas D. Lane Cecilia Mascolo 19 8 0 19 Jul 2023
TinyMetaFed: Efficient Federated Meta-Learning for TinyML Haoyu Ren Xue Li Darko Anicic Thomas Runkler 30 3 0 13 Jul 2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers D. Nadalini Manuele Rusci Luca Benini Francesco Conti 28 15 0 30 May 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 25 16 0 11 Apr 2023
TinyML: Tools, Applications, Challenges, and Future Research Directions Rakhee Kallimani K. Pai Prasoon Raghuwanshi S. Iyer O. López 38 40 0 23 Mar 2023
MetaLDC: Meta Learning of Low-Dimensional Computing Classifiers for Fast On-Device Adaption Yejia Liu Shijin Duan Xiaolin Xu Shaolei Ren 29 4 0 23 Feb 2023
RedMule: A Mixed-Precision Matrix-Matrix Operation Engine for Flexible and Energy-Efficient On-Chip Linear Algebra and TinyML Training Acceleration Yvan Tortorella L. Bertaccini Luca Benini D. Rossi Francesco Conti 22 11 0 10 Jan 2023
On-device Training: A First Overview on Existing Systems Shuai Zhu Thiemo Voigt Jeonggil Ko Fatemeh Rahimian 34 14 0 01 Dec 2022
Incremental Online Learning Algorithms Comparison for Gesture and Visual Smart Sensors Alessandro Avi Andrea Albanese Davide Brunelli 22 9 0 01 Sep 2022
On-Device Training Under 256KB Memory Ji Lin Ligeng Zhu Wei-Ming Chen Wei-Chen Wang Chuang Gan Song Han MQ 25 196 0 30 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 24 118 0 29 May 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML Visal Rajapakse Ishan Karunanayake Nadeem Ahmed SyDa 33 53 0 02 Apr 2022
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective Haoyu Ren Darko Anicic Thomas Runkler 14 8 0 18 Feb 2022
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenarios T. Barbariol Gian Antonio Susto 17 20 0 30 Nov 2021
A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays Leonardo Ravaglia Manuele Rusci D. Nadalini Alessandro Capotondi Francesco Conti Luca Benini BDL 39 64 0 20 Oct 2021
Tiny Machine Learning for Concept Drift Simone Disabato M. Roveri 13 27 0 30 Jul 2021
The Synergy of Complex Event Processing and Tiny Machine Learning in Industrial IoT Haoyu Ren Darko Anicic Thomas Runkler 16 24 0 04 May 2021
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems R. David Jared Duke Advait Jain Vijay Janapa Reddi Nat Jeffries ... Meghna Natraj Shlomi Regev Rocky Rhodes Tiezhen Wang Pete Warden 116 466 0 17 Oct 2020