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2010.08678
Cited By
TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems
17 October 2020
R. David
Jared Duke
Advait Jain
Vijay Janapa Reddi
Nat Jeffries
Jian Li
Nick Kreeger
Ian Nappier
Meghna Natraj
Shlomi Regev
Rocky Rhodes
Tiezhen Wang
Pete Warden
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Papers citing
"TensorFlow Lite Micro: Embedded Machine Learning on TinyML Systems"
50 / 117 papers shown
Title
A Neural Network Mode for PX4 on Embedded Flight Controllers
Sindre M. Hegre
Welf Rehberg
M. Kulkarni
Kostas Alexis
27
0
0
01 May 2025
Vision Controlled Orthotic Hand Exoskeleton
Connor Blais
Md Abdul Baset Sarker
Masudul H. Imtiaz
30
0
0
22 Apr 2025
Collaborative Learning of On-Device Small Model and Cloud-Based Large Model: Advances and Future Directions
Chaoyue Niu
Yucheng Ding
Junhui Lu
Zhengxiang Huang
Hang Zeng
Yutong Dai
Xuezhen Tu
Chengfei Lv
Fan Wu
Guihai Chen
27
1
0
17 Apr 2025
On-Sensor Convolutional Neural Networks with Early-Exits
Hazem Hesham Yousef Shalby
Arianna De Vecchi
Alice Scandelli
Pietro Bartoli
Diana Trojaniello
Manuel Roveri
Federica Villa
43
0
0
21 Mar 2025
SeSeMI: Secure Serverless Model Inference on Sensitive Data
Guoyu Hu
Yuncheng Wu
Gang Chen
Tien Tuan Anh Dinh
Beng Chin Ooi
73
1
0
16 Dec 2024
Optimizing LoRa for Edge Computing with TinyML Pipeline for Channel Hopping
Marla Grunewald
Mounir Bensalem
Admela Jukan
66
0
0
02 Dec 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
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
Zebin Yang
Renze Chen
Taiqiang Wu
Ngai Wong
Yun Liang
Runsheng Wang
R. Huang
Meng Li
MQ
27
1
0
23 Oct 2024
MATCH: Model-Aware TVM-based Compilation for Heterogeneous Edge Devices
Mohamed Amine Hamdi
Francesco Daghero
G. M. Sarda
Josse Van Delm
Arne Symons
Luca Benini
Marian Verhelst
Daniele Jahier Pagliari
Alessio Burrello
29
1
0
11 Oct 2024
TinyLidarNet: 2D LiDAR-based End-to-End Deep Learning Model for F1TENTH Autonomous Racing
Mohammed Misbah Zarrar
QiTao Weng
Bakhbyergyen Yerjan
Ahmet Soyyigit
Heechul Yun
11
2
0
09 Oct 2024
MicroFlow: An Efficient Rust-Based Inference Engine for TinyML
Matteo Carnelos
Francesco Pasti
Nicola Bellotto
18
1
0
28 Sep 2024
TinyTNAS: GPU-Free, Time-Bound, Hardware-Aware Neural Architecture Search for TinyML Time Series Classification
Bidyut Saha
Riya Samanta
S. K. Ghosh
Ram Babu Roy
16
3
0
29 Aug 2024
Deeploy: Enabling Energy-Efficient Deployment of Small Language Models On Heterogeneous Microcontrollers
Moritz Scherer
Luka Macan
Victor J. B. Jung
Philip Wiese
Luca Bompani
Alessio Burrello
Francesco Conti
Luca Benini
MoE
41
10
0
08 Aug 2024
SepAl: Sepsis Alerts On Low Power Wearables With Digital Biomarkers and On-Device Tiny Machine Learning
Marco Giordano
Kanika S. Dheman
Michele Magno
32
3
0
31 Jul 2024
HTVM: Efficient Neural Network Deployment On Heterogeneous TinyML Platforms
Josse Van Delm
Maarten Vandersteegen
Alessio Burrello
G. M. Sarda
Francesco Conti
Daniele Jahier Pagliari
Luca Benini
Marian Verhelst
28
7
0
11 Jun 2024
TinySV: Speaker Verification in TinyML with On-device Learning
Massimo Pavan
Gioele Mombelli
Francesco Sinacori
Manuel Roveri
43
2
0
03 Jun 2024
xTern: Energy-Efficient Ternary Neural Network Inference on RISC-V-Based Edge Systems
Georg Rutishauser
Joan Mihali
Moritz Scherer
Luca Benini
24
1
0
29 May 2024
Distributed Threat Intelligence at the Edge Devices: A Large Language Model-Driven Approach
Syed Mhamudul Hasan
Alaa M. Alotaibi
Sajedul Talukder
A. Shahid
28
8
0
14 May 2024
On-device Online Learning and Semantic Management of TinyML Systems
Haoyu Ren
Xue Li
Darko Anicic
Thomas Runkler
37
3
0
13 May 2024
TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems
Byungchul Chae
Jiae Kim
Seonyeong Heo
VLM
25
0
0
03 May 2024
Wake Vision: A Large-scale, Diverse Dataset and Benchmark Suite for TinyML Person Detection
Colby R. Banbury
Emil Njor
Matthew P. Stewart
Pete Warden
M. Kudlur
Nat Jeffries
Xenofon Fafoutis
Vijay Janapa Reddi
VLM
42
0
0
01 May 2024
vMCU: Coordinated Memory Management and Kernel Optimization for DNN Inference on MCUs
Size Zheng
Renze Chen
Meng Li
Zihao Ye
Luis Ceze
Yun Liang
21
1
0
01 May 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
Register Your Forests: Decision Tree Ensemble Optimization by Explicit CPU Register Allocation
Daniel Biebert
Christian Hakert
Kuan-Hsun Chen
Jian-Jia Chen
33
1
0
10 Apr 2024
Lightweight Deep Learning for Resource-Constrained Environments: A Survey
Hou-I Liu
Marco Galindo
Hongxia Xie
Lai-Kuan Wong
Hong-Han Shuai
Yung-Hui Li
Wen-Huang Cheng
55
48
0
08 Apr 2024
Tiny Machine Learning: Progress and Futures
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
41
51
0
28 Mar 2024
DiTMoS: Delving into Diverse Tiny-Model Selection on Microcontrollers
Xiao Ma
Shengfeng He
Hezhe Qiao
Dong-Lai Ma
29
1
0
14 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
19
7
0
12 Mar 2024
UR2M: Uncertainty and Resource-Aware Event Detection on Microcontrollers
Hong Jia
Young D. Kwon
Dong Ma
Nhat Pham
Lorena Qendro
Tam N. Vu
Cecilia Mascolo
22
2
0
14 Feb 2024
MosquIoT: A System Based on IoT and Machine Learning for the Monitoring of Aedes aegypti (Diptera: Culicidae)
Javier Aira
T. Olivares
F. Delicado
D. Vezzani
23
7
0
29 Jan 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
Lixiang Han
Zhen Xiao
Zhenjiang Li
41
5
0
17 Jan 2024
LExCI: A Framework for Reinforcement Learning with Embedded Systems
Kevin Badalian
Lucas Koch
Tobias Brinkmann
Mario Picerno
Marius Wegener
Sung-Yong Lee
Jakob Andert
20
1
0
05 Dec 2023
A Survey on Design Methodologies for Accelerating Deep Learning on Heterogeneous Architectures
Fabrizio Ferrandi
S. Curzel
Leandro Fiorin
Daniele Ielmini
Cristina Silvano
...
Salvatore Filippone
F. L. Presti
Francesco Silvestri
P. Palazzari
Stefania Perri
19
4
0
29 Nov 2023
REDS: Resource-Efficient Deep Subnetworks for Dynamic Resource Constraints
Francesco Corti
Balz Maag
Joachim Schauer
U. Pferschy
O. Saukh
29
2
0
22 Nov 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
34
8
0
20 Nov 2023
LifeLearner: Hardware-Aware Meta Continual Learning System for Embedded Computing Platforms
Young D. Kwon
Jagmohan Chauhan
Hong Jia
Stylianos I. Venieris
Cecilia Mascolo
38
11
0
19 Nov 2023
Robust and Scalable Hyperdimensional Computing With Brain-Like Neural Adaptations
Junyao Wang
Mohammad Abdullah Al Faruque
22
2
0
13 Nov 2023
Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications
Liam Boyle
Nicolas Baumann
Seonyeong Heo
Michele Magno
ObjD
20
5
0
13 Nov 2023
Terrain Recognition and Contact Force Estimation through a Sensorized Paw for Legged Robots
Aleksander Vangen
Tejal Barnwal
Jørgen Anker Olsen
Kostas Alexis
33
3
0
07 Nov 2023
MicroNAS: Memory and Latency Constrained Hardware-Aware Neural Architecture Search for Time Series Classification on Microcontrollers
Tobias King
Yexu Zhou
Tobias Röddiger
Michael Beigl
26
2
0
27 Oct 2023
Cost-Driven Hardware-Software Co-Optimization of Machine Learning Pipelines
Ravit Sharma
W. Romaszkan
Feiqian Zhu
Puneet Gupta
Ankur Mehta
19
0
0
11 Oct 2023
A Federated Learning Algorithms Development Paradigm
Miroslav Popovic
M. Popovic
I. Kastelan
Miodrag Djukic
I. Basicevic
11
3
0
08 Oct 2023
A Novel IoT Trust Model Leveraging Fully Distributed Behavioral Fingerprinting and Secure Delegation
Marco Arazzi
S. Nicolazzo
Antonino Nocera
21
9
0
02 Oct 2023
A Machine Learning-oriented Survey on Tiny Machine Learning
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDa
MU
29
33
0
21 Sep 2023
Temporal Patience: Efficient Adaptive Deep Learning for Embedded Radar Data Processing
Max Sponner
Julius Ott
Lorenzo Servadei
Bernd Waschneck
Robert Wille
Akash Kumar
11
2
0
11 Sep 2023
Deploying Deep Reinforcement Learning Systems: A Taxonomy of Challenges
Ahmed Haj Yahmed
Altaf Allah Abbassi
Amin Nikanjam
Heng Li
Foutse Khomh
OffRL
24
5
0
23 Aug 2023
Model Compression Methods for YOLOv5: A Review
Mohammad Jani
Jamil Fayyad
Younes Al Younes
H. Najjaran
31
14
0
21 Jul 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
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge Systems
Julian Moosmann
H. Mueller
Nicky Zimmerman
Georg Rutishauser
Luca Benini
Michele Magno
25
8
0
12 Jul 2023
Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives
Moming Duan
Qinbin Li
Linshan Jiang
Bingsheng He
FedML
31
4
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05 Jul 2023
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