Title
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives Moming Duan Qinbin Li Linshan Jiang Bingsheng He FedML 34 4 0 05 Jul 2023
QNNRepair: Quantized Neural Network Repair Xidan Song Youcheng Sun Mustafa A. Mustafa Lucas C. Cordeiro MQ 16 1 0 23 Jun 2023
Enhancing Fault Resilience of QNNs by Selective Neuron Splitting Mohammad Hasan Ahmadilivani Mahdi Taheri J. Raik Masoud Daneshtalab M. Jenihhin AAML 23 9 0 16 Jun 2023
MLonMCU: TinyML Benchmarking with Fast Retargeting Philipp van Kempen Rafael Stahl Daniel Mueller-Gritschneder Ulf Schlichtmann MQ 17 3 0 15 Jun 2023
Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML M. Deutel G. Kontes Christopher Mutschler Jürgen Teich 52 0 0 23 May 2023
TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers Julian Moosmann Marco Giordano Christian Vogt Michele Magno MQ ObjD 13 20 0 22 May 2023
Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural Networks Ferheen Ayaz Idris Zakariyya José Cano S. Keoh Jeremy Singer D. Pau Mounia Kharbouche-Harrari 19 5 0 25 Apr 2023
Uncharted Territory: Energy Attacks in the Battery-less Internet of Things L. Mottola Arslan Hameed Thiemo Voigt AAML 31 2 0 17 Apr 2023
Dynamically Reconfigurable Variable-precision Sparse-Dense Matrix Acceleration in Tensorflow Lite J. Núñez-Yáñez A. Otero E. D. L. Torre 15 3 0 17 Apr 2023
MEMA Runtime Framework: Minimizing External Memory Accesses for TinyML on Microcontrollers Andrew Sabot Vikas Natesh H. T. Kung W. Ting 21 3 0 12 Apr 2023
DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification Junyao Wang Sitao Huang Mohsen Imani 20 9 0 11 Apr 2023
TinyReptile: TinyML with Federated Meta-Learning Haoyu Ren Darko Anicic Thomas Runkler 25 16 0 11 Apr 2023
Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM Chen Liu M. Jobst Liyuan Guo Xinyue Shi Johannes Partzsch Christian Mayr 31 5 0 10 Apr 2023
Adopting Two Supervisors for Efficient Use of Large-Scale Remote Deep Neural Networks Michael Weiss Paolo Tonella AI4CE 18 0 0 05 Apr 2023
Fused Depthwise Tiling for Memory Optimization in TinyML Deep Neural Network Inference Rafael Stahl Daniel Mueller-Gritschneder Ulf Schlichtmann 3DV 13 5 0 31 Mar 2023
Energy-efficient Task Adaptation for NLP Edge Inference Leveraging Heterogeneous Memory Architectures Zirui Fu Aleksandre Avaliani M. Donato 41 1 0 25 Mar 2023
Gated Compression Layers for Efficient Always-On Models Haiguang Li T. Thormundsson I. Poupyrev N. Gillian 36 2 0 15 Mar 2023
DeepAxe: A Framework for Exploration of Approximation and Reliability Trade-offs in DNN Accelerators Mahdi Taheri M. Riazati Mohammad Hasan Ahmadilivani M. Jenihhin Masoud Daneshtalab J. Raik Mikael Sjödin B. Lisper 44 20 0 14 Mar 2023
Is TinyML Sustainable? Assessing the Environmental Impacts of Machine Learning on Microcontrollers Shvetank Prakash Matthew P. Stewart Colby R. Banbury Mark Mazumder Pete Warden Brian Plancher Vijay Janapa Reddi 30 16 0 27 Jan 2023
Reaching the Edge of the Edge: Image Analysis in Space R. Bayer Julian Priest Pınar Tözün 27 5 0 12 Jan 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution Edgar Liberis Nicholas D. Lane 20 3 0 30 Nov 2022
GhostNetV2: Enhance Cheap Operation with Long-Range Attention Yehui Tang Kai Han Jianyuan Guo Chang Xu Chaoting Xu Yunhe Wang 20 270 0 23 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection Fan Mo Mohammad Malekzadeh S. Chatterjee F. Kawsar Akhil Mathur FedML 30 2 0 08 Nov 2022
A review of TinyML Harsha Yelchuri R. Rashmi 13 2 0 05 Nov 2022
Edge Impulse: An MLOps Platform for Tiny Machine Learning Shawn Hymel Colby R. Banbury Daniel Situnayake A. Elium Carl Ward ... Louis Moreau Dmitry Maslov A. Beavis Jan Jongboom Vijay Janapa Reddi VLM LRM 45 95 0 02 Nov 2022
Sub-8-bit quantization for on-device speech recognition: a regularization-free approach Kai Zhen Martin H. Radfar Hieu Duy Nguyen Grant P. Strimel Nathan Susanj Athanasios Mouchtaris MQ 20 8 0 17 Oct 2022
Demand Layering for Real-Time DNN Inference with Minimized Memory Usage Min-Zhi Ji Saehanseul Yi Chang-Mo Koo Sol Ahn Dongjoo Seo N. Dutt Jong-Chan Kim 42 16 0 08 Oct 2022
Deep Learning-based ECG Classification on Raspberry PI using a Tensorflow Lite Model based on PTB-XL Dataset Kushagra Sharma R. Eskicioglu 13 7 0 25 Aug 2022
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems Michael Bechtel QiTao Weng H. Yun BDL 23 7 0 23 Aug 2022
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework Xiaofeng Li Bin Ren Xipeng Shen Yanzhi Wang GNN 20 0 0 21 Jun 2022
Edge Security: Challenges and Issues Xin Jin Charalampos Katsis Fan Sang Jiahao Sun A. Kundu Ramana Rao Kompella 47 8 0 14 Jun 2022
Machine Learning Sensors Pete Warden Matthew P. Stewart Brian Plancher Colby R. Banbury Shvetank Prakash Emma Chen Zain Asgar Sachin Katti Vijay Janapa Reddi 39 12 0 07 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review Swapnil Sayan Saha S. Sandha Mani B. Srivastava 24 118 0 29 May 2022
Toward smart composites: small-scale, untethered prediction and control for soft sensor/actuator systems Sarah Aguasvivas Manzano V. Sundaram Artemis Xu K. Ly M. Rentschler R. Shepherd N. Correll 27 5 0 22 May 2022
Energy-efficient Deployment of Deep Learning Applications on Cortex-M based Microcontrollers using Deep Compression M. Deutel Philipp Woller Christopher Mutschler Jürgen Teich 47 4 0 20 May 2022
Landing AI on Networks: An equipment vendor viewpoint on Autonomous Driving Networks Dario Rossi Liang Zhang 30 13 0 26 Apr 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature Review Shashank Bangalore Lakshman Nasir U. Eisty 11 12 0 19 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML Visal Rajapakse Ishan Karunanayake Nadeem Ahmed SyDa 33 53 0 02 Apr 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on Microcontrollers Young D. Kwon Jagmohan Chauhan Cecilia Mascolo 18 13 0 08 Mar 2022
tinyMAN: Lightweight Energy Manager using Reinforcement Learning for Energy Harvesting Wearable IoT Devices T. Basaklar Y. Tuncel Ümit Y. Ogras 11 15 0 18 Feb 2022
How to Manage Tiny Machine Learning at Scale: An Industrial Perspective Haoyu Ren Darko Anicic Thomas Runkler 12 8 0 18 Feb 2022
Early Detection of Network Attacks Using Deep Learning Tanwir Ahmad D. Truscan Juri Vain Ivan Porres AAML 14 17 0 27 Jan 2022
CFU Playground: Full-Stack Open-Source Framework for Tiny Machine Learning (tinyML) Acceleration on FPGAs Shvetank Prakash Tim Callahan Joseph R. Bushagour Colby R. Banbury Alan V. Green Pete Warden Tim Ansell Vijay Janapa Reddi 30 30 0 05 Jan 2022
TinyML Platforms Benchmarking Anas Osman Usman Abid Luca Gemma Matteo Perotto Davide Brunelli ELM 30 15 0 30 Nov 2021
Energy-Efficient Inference on the Edge Exploiting TinyML Capabilities for UAVs Wamiq Raza Anas Osman F. Ferrini F. D. De Natale 24 29 0 30 Nov 2021
ML-EXray: Visibility into ML Deployment on the Edge Hang Qiu Ioanna Vavelidou Jian Li Evgenya Pergament Pete Warden Sandeep P. Chinchali Zain Asgar Sachin Katti 14 8 0 08 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
Differentiable Network Pruning for Microcontrollers Edgar Liberis Nicholas D. Lane 22 18 0 15 Oct 2021
TinyFedTL: Federated Transfer Learning on Tiny Devices Kavya Kopparapu Eric Lin 80 18 0 03 Oct 2021
Machine Learning for Sensor Transducer Conversion Routines T. Newton James Timothy Meech Phillip Stanley-Marbell 24 2 0 23 Aug 2021