A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays

20 October 2021

Luca Benini

Papers citing "A TinyML Platform for On-Device Continual Learning with Quantized Latent Replays"

30 / 30 papers shown

Title
TActiLE: Tiny Active LEarning for wearable devices Massimo Pavan Claudio Galimberti Manuel Roveri 12 0 0 02 May 2025
Generative Binary Memory: Pseudo-Replay Class-Incremental Learning on Binarized Embeddings Yanis Basso-Bert Anca Molnos Romain Lemaire William Guicquero Antoine Dupret BDL 51 0 0 13 Mar 2025
Towards Experience Replay for Class-Incremental Learning in Fully-Binary Networks Yanis Basso-Bert Anca Molnos Romain Lemaire William Guicquero Antoine Dupret CLL 34 0 0 10 Mar 2025
Delta: A Cloud-assisted Data Enrichment Framework for On-Device Continual Learning Chen Gong Zhenzhe Zheng Fan Wu Xiaofeng Jia Guihai Chen LMTD FedML 18 0 0 24 Oct 2024
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML Matteo Carnelos Francesco Pasti Nicola Bellotto 13 1 0 28 Sep 2024
Latent Distillation for Continual Object Detection at the Edge Francesco Pasti Marina Ceccon Davide Dalle Pezze Francesco Paissan Elisabetta Farella Gian Antonio Susto Nicola Bellotto 22 4 0 03 Sep 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 33 0 0 25 Aug 2024
Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond Jichuan Zhang Yali Li Xin Liu Shengjin Wang DiffM 23 0 0 06 Aug 2024
On-Device Training Empowered Transfer Learning For Human Activity Recognition Pixi Kang Julian Moosmann Sizhen Bian Michele Magno 28 0 0 04 Jul 2024
TinySV: Speaker Verification in TinyML with On-device Learning Massimo Pavan Gioele Mombelli Francesco Sinacori Manuel Roveri 27 0 0 03 Jun 2024
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case Fatemeh Dehrouyeh Li Yang F. Badrkhani Ajaei Abdallah Shami 25 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 27 7 0 22 Apr 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 24 0 0 12 Mar 2024
FeTrIL++: Feature Translation for Exemplar-Free Class-Incremental Learning with Hill-Climbing Eduard Hogea Adrian Daniel Popescu Darian M. Onchis Grégoire Petit CLL 22 4 0 12 Mar 2024
Divide and not forget: Ensemble of selectively trained experts in Continual Learning Grzegorz Rype'sć Sebastian Cygert Valeriya Khan Tomasz Trzciñski Bartosz Zieliñski Bartlomiej Twardowski CLL 14 11 0 18 Jan 2024
Enabling On-device Continual Learning with Binary Neural Networks Lorenzo Vorabbi Davide Maltoni Guido Borghi Stefano Santi MQ 20 0 0 18 Jan 2024
A Conditioned Unsupervised Regression Framework Attuned to the Dynamic Nature of Data Streams René Richard Nabil Belacel 10 0 0 12 Dec 2023
Hadamard Domain Training with Integers for Class Incremental Quantized Learning Martin Schiemer Clemens J. S. Schaefer Jayden Parker Vap Mark Horeni Yu Emma Wang Juan Ye Siddharth Joshi 23 0 0 05 Oct 2023
A Machine Learning-oriented Survey on Tiny Machine Learning Luigi Capogrosso Federico Cunico D. Cheng Franco Fummi Marco Cristani SyDa MU 8 11 0 21 Sep 2023
Online Continual Learning for Robust Indoor Object Recognition Umberto Michieli Mete Ozay 19 7 0 19 Jul 2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers D. Nadalini Manuele Rusci Luca Benini Francesco Conti 15 13 0 30 May 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 14 15 0 11 Apr 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 12 2 0 10 Jan 2023
FeTrIL: Feature Translation for Exemplar-Free Class-Incremental Learning Grégoire Petit Adrian Daniel Popescu Hugo Schindler David Picard Bertrand Delezoide CLL 12 71 0 23 Nov 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 8 86 0 29 May 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML Visal Rajapakse Ishan Karunanayake Nadeem Ahmed SyDa 18 32 0 02 Apr 2022
Constrained Few-shot Class-incremental Learning Michael Hersche G. Karunaratne G. Cherubini Luca Benini A. Sebastian Abbas Rahimi CLL 11 113 0 30 Mar 2022
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 86 461 0 17 Oct 2020
Benchmarking TinyML Systems: Challenges and Direction Colby R. Banbury Vijay Janapa Reddi Max Lam William Fu A. Fazel ... Jae-sun Seo Jeff Sieracki Urmish Thakker Marian Verhelst Poonam Yadav 93 226 0 10 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 170 1,018 0 06 Mar 2020