Intelligence at the Extreme Edge: A Survey on Reformable TinyML

Intelligence at the Extreme Edge: A Survey on Reformable TinyML

2 April 2022

Visal Rajapakse

Ishan Karunanayake

Papers citing "Intelligence at the Extreme Edge: A Survey on Reformable TinyML"

11 / 11 papers shown

Title
Efficient Adaptation of Deep Neural Networks for Semantic Segmentation in Space Applications Leonardo Olivi Edoardo Santero Mormile Enzo Tartaglione SSeg 35 0 0 22 Apr 2025
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
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
TinyML: Tools, Applications, Challenges, and Future Research Directions Rakhee Kallimani K. Pai Prasoon Raghuwanshi S. Iyer O. López 38 40 0 23 Mar 2023
A review of TinyML Harsha Yelchuri R. Rashmi 13 2 0 05 Nov 2022
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
TinyFedTL: Federated Transfer Learning on Tiny Devices Kavya Kopparapu Eric Lin 86 18 0 03 Oct 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 119 466 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 109 228 0 10 Mar 2020
What is the State of Neural Network Pruning? Davis W. Blalock Jose Javier Gonzalez Ortiz Jonathan Frankle John Guttag 191 1,027 0 06 Mar 2020