Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2003.04821
Cited By
v1
v2
v3
v4 (latest)
Benchmarking TinyML Systems: Challenges and Direction
10 March 2020
Colby R. Banbury
Vijay Janapa Reddi
Max Lam
William Fu
A. Fazel
J. Holleman
Xinyuan Huang
R. Hurtado
David Kanter
Anton Lokhmotov
David A. Patterson
Danilo Pau
Jae-sun Seo
Jeff Sieracki
Urmish Thakker
Marian Verhelst
Poonam Yadav
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Benchmarking TinyML Systems: Challenges and Direction"
50 / 86 papers shown
Evaluating the Energy Efficiency of NPU-Accelerated Machine Learning Inference on Embedded Microcontrollers
Anastasios Fanariotis
T. Orphanoudakis
V. Fotopoulos
71
0
0
22 Sep 2025
A Survey of TinyML Applications in Beekeeping for Hive Monitoring and Management
Willy Sucipto
Jianlong Zhou
Ray Seung Min Kwon
Fang Chen
118
0
0
10 Sep 2025
MambaLite-Micro: Memory-Optimized Mamba Inference on MCUs
Hongjun Xu
Junxi Xia
Weisi Yang
Yueyuan Sui
Stephen Xia
Mamba
230
0
0
05 Sep 2025
Efficient Edge Deployment of Quantized YOLOv4-Tiny for Aerial Emergency Object Detection on Raspberry Pi 5
Sindhu Boddu
Arindam Mukherjee
127
1
0
10 Jun 2025
Memory Access Characterization of Large Language Models in CPU Environment and its Potential Impacts
Spencer Banasik
197
1
0
02 Jun 2025
Searching Neural Architectures for Sensor Nodes on IoT Gateways
IEEE Internet of Things Journal (IEEE IoT J.), 2025
Andrea Mattia Garavagno
E. Ragusa
A. Frisoli
Paolo Gastaldo
224
0
0
29 May 2025
Benchmarking Energy and Latency in TinyML: A Novel Method for Resource-Constrained AI
Pietro Bartoli
Christian Veronesi
Andrea Giudici
David Siorpaes
Diana Trojaniello
Franco Zappa
242
8
0
21 May 2025
AlphaGrad: Non-Linear Gradient Normalization Optimizer
Soham Sane
ODL
421
0
0
22 Apr 2025
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
Yi Hu
Jinhang Zuo
Eddie Zhang
Bob Iannucci
Carlee Joe-Wong
352
1
0
13 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
322
1
0
21 Mar 2025
Dendron: Enhancing Human Activity Recognition with On-Device TinyML Learning
IEEE Symposium on Computational Intelligence for Engineering Solutions (CIES), 2025
Hazem Hesham Yousef Shalby
Manuel Roveri
414
1
0
03 Mar 2025
Phoeni6: a Systematic Approach for Evaluating the Energy Consumption of Neural Networks
Sustainable Computing: Informatics and Systems (SCIS), 2025
Antônio Oliveira-Filho
Wellington Silva-de-Souza
Carlos Alberto Valderrama Sakuyama
Samuel Xavier-de-Souza
356
0
0
25 Feb 2025
ETHEREAL: Energy-efficient and High-throughput Inference using Compressed Tsetlin Machine
International Workshop on Advances in Sensors and Interfaces (ASI), 2025
Shengyu Duan
Rishad Shafik
Alex Yakovlev
791
2
0
08 Feb 2025
Michscan: Black-Box Neural Network Integrity Checking at Runtime Through Power Analysis
IEEE International Symposium on Hardware Oriented Security and Trust (HOST), 2025
Robi Paul
Michael Zuzak
106
1
0
20 Jan 2025
TIFeD: a Tiny Integer-based Federated learning algorithm with Direct feedback alignment
International Conference on AI-ML-Systems (ICA), 2023
Luca Colombo
Alessandro Falcetta
Manuel Roveri
FedML
383
5
0
25 Nov 2024
TinyChirp: Bird Song Recognition Using TinyML Models on Low-power Wireless Acoustic Sensors
Zhaolan Huang
Adrien Tousnakhoff
Polina Kozyr
Roman Rehausen
Felix Biessmann
Robert Lachlan
C. Adjih
Emmanuel Baccelli
281
19
0
31 Jul 2024
StreamTinyNet: video streaming analysis with spatial-temporal TinyML
Hazem Hesham Yousef Shalby
Massimo Pavan
Manuel Roveri
225
2
0
22 Jul 2024
Enhancing TinyML Security: Study of Adversarial Attack Transferability
Parin Shah
Yuvaraj Govindarajulu
Pavan Kulkarni
Manojkumar Somabhai Parmar
AAML
325
4
0
16 Jul 2024
Wake Vision: A Tailored Dataset and Benchmark Suite for TinyML Computer Vision Applications
Colby R. Banbury
Emil Njor
Andrea Mattia Garavagno
Mark Mazumder
Matthew P. Stewart
Pete Warden
M. Kudlur
Nat Jeffries
Xenofon Fafoutis
Vijay Janapa Reddi
VLM
598
0
0
01 May 2024
On TinyML and Cybersecurity: Electric Vehicle Charging Infrastructure Use Case
Fatemeh Dehrouyeh
Li Yang
F. Badrkhani Ajaei
Abdallah Shami
309
29
0
25 Apr 2024
David and Goliath: An Empirical Evaluation of Attacks and Defenses for QNNs at the Deep Edge
Miguel Costa
Sandro Pinto
AAML
275
2
0
08 Apr 2024
Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference
International Conference on Human Factors in Computing Systems (CHI), 2024
Fred Hohman
Chaoqun Wang
Jinmook Lee
Jochen Görtler
Dominik Moritz
Jeffrey P. Bigham
Zhile Ren
Cecile Foret
Qi Shan
Xiaoyi Zhang
314
8
0
03 Apr 2024
Optimizing the Deployment of Tiny Transformers on Low-Power MCUs
IEEE transactions on computers (IEEE Trans. Comput.), 2024
Victor J. B. Jung
Luca Bompani
Moritz Scherer
Francesco Conti
Luca Benini
394
19
0
03 Apr 2024
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
Design, Automation and Test in Europe (DATE), 2024
Yoga Esa Wibowo
Cristian Cioflan
T. Ingolfsson
Michael Hersche
Leo Zhao
Abbas Rahimi
Luca Benini
CLL
367
5
0
12 Mar 2024
Boosting keyword spotting through on-device learnable user speech characteristics
Cristian Cioflan
Lukas Cavigelli
Luca Benini
197
7
0
12 Mar 2024
Enabling On-device Continual Learning with Binary Neural Networks
Lorenzo Vorabbi
Davide Maltoni
Guido Borghi
Stefano Santi
MQ
333
9
0
18 Jan 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
IEEE Conference on Computer Communications (INFOCOM), 2024
Lixiang Han
Zhen Xiao
Zhenjiang Li
319
17
0
17 Jan 2024
Physics-Enhanced TinyML for Real-Time Detection of Ground Magnetic Anomalies
Talha Siddique
Md. Shaad Mahmud
AI4CE
162
5
0
19 Nov 2023
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
IEEE Transactions on Circuits and Systems Part 1: Regular Papers (TCAS-I), 2023
Jianlei Yang
Jiacheng Liao
Fanding Lei
Meichen Liu
Junyi Chen
Junyi Chen
Han Wan
Bei Yu
Weisheng Zhao
MoE
433
5
0
03 Nov 2023
PockEngine: Sparse and Efficient Fine-tuning in a Pocket
Micro (MICRO), 2023
Ligeng Zhu
Lanxiang Hu
Ji Lin
Wei-Chen Wang
Wei-Ming Chen
Chuang Gan
Song Han
233
36
0
26 Oct 2023
A Machine Learning-oriented Survey on Tiny Machine Learning
IEEE Access (IEEE Access), 2023
Luigi Capogrosso
Federico Cunico
D. Cheng
Franco Fummi
Marco Cristani
SyDa
MU
433
88
0
21 Sep 2023
U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT
International Conference on Performance Evaluation and Modeling in Wired and Wireless Networks (ICEMWWN), 2023
Zhao Huang
K. Zandberg
K. Schleiser
Emmanuel Baccelli
352
9
0
26 Jun 2023
Datasheets for Machine Learning Sensors
Matthew P. Stewart
Pete Warden
Yasmine Omri
Yasmine Omri
Shvetank Prakash
...
Nat Jeffries
Emanuel Moss
Mona Sloane
Brian Plancher
Vijay Janapa Reddi
340
1
0
15 Jun 2023
Reduced Precision Floating-Point Optimization for Deep Neural Network On-Device Learning on MicroControllers
Future generations computer systems (FGCS), 2023
D. Nadalini
Manuele Rusci
Luca Benini
Francesco Conti
221
19
0
30 May 2023
Uncharted Territory: Energy Attacks in the Battery-less Internet of Things
L. Mottola
Arslan Hameed
Thiemo Voigt
AAML
347
4
0
17 Apr 2023
TinyML: Tools, Applications, Challenges, and Future Research Directions
Rakhee Kallimani
K. Pai
Prasoon Raghuwanshi
S. Iyer
O. López
227
89
0
23 Mar 2023
Sharing Low Rank Conformer Weights for Tiny Always-On Ambient Speech Recognition Models
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Steven M. Hernandez
Ding Zhao
Shaojin Ding
A. Bruguier
Rohit Prabhavalkar
Tara N. Sainath
Yanzhang He
Ian McGraw
303
12
0
15 Mar 2023
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
IEEE transactions on computers (IEEE Trans. Comput.), 2023
Matteo Risso
Luca Bompani
Francesco Conti
Lorenzo Lamberti
Yukai Chen
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
283
50
0
24 Jan 2023
Reaching the Edge of the Edge: Image Analysis in Space
R. Bayer
Julian Priest
Pınar Tözün
355
8
0
12 Jan 2023
Walking Noise: On Layer-Specific Robustness of Neural Architectures against Noisy Computations and Associated Characteristic Learning Dynamics
Hendrik Borras
Bernhard Klein
Holger Fröning
AAML
316
1
0
20 Dec 2022
Colab NAS: Obtaining lightweight task-specific convolutional neural networks following Occam's razor
Future generations computer systems (FGCS), 2022
Andrea Mattia Garavagno
D. Leonardis
A. Frisoli
362
1
0
15 Dec 2022
A review of TinyML
Harsha Yelchuri
R. Rashmi
184
3
0
05 Nov 2022
DeepPicarMicro: Applying TinyML to Autonomous Cyber Physical Systems
IEEE International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), 2022
Michael Bechtel
QiTao Weng
H. Yun
BDL
200
10
0
23 Aug 2022
Tiny-HR: Towards an interpretable machine learning pipeline for heart rate estimation on edge devices
Preetam Anbukarasu
Shailesh Nanisetty
Ganesh Tata
Nilanjan Ray
246
8
0
16 Aug 2022
Low-bit Shift Network for End-to-End Spoken Language Understanding
Interspeech (Interspeech), 2022
Anderson R. Avila
Khalil Bibi
Ruizhi Yang
Xinlin Li
Chao Xing
Xiao Chen
MQ
248
4
0
15 Jul 2022
On-Device Training Under 256KB Memory
Neural Information Processing Systems (NeurIPS), 2022
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Chuang Gan
Song Han
MQ
520
279
0
30 Jun 2022
Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark
H. Borras
G. D. Guglielmo
Javier Mauricio Duarte
Nicolò Ghielmetti
B. Hawks
...
Nhan Tran
Yaman Umuroglu
Olivia Weng
Aidan Yokuda
Michaela Blott
VLM
MQ
188
17
0
23 Jun 2022
A Survey of Graph-based Deep Learning for Anomaly Detection in Distributed Systems
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
Armin Danesh Pazho
Ghazal Alinezhad Noghre
Arnab A. Purkayastha
Jagannadh Vempati
Otto Martin
Hamed Tabkhi
GNN
370
70
0
08 Jun 2022
Machine Learning Sensors
Pete Warden
Matthew P. Stewart
Brian Plancher
Colby R. Banbury
Yasmine Omri
Emma Chen
Zain Asgar
Sachin Katti
Vijay Janapa Reddi
239
14
0
07 Jun 2022
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
International Symposium on Low Power Electronics and Design (ISLPED), 2022
Matteo Risso
Luca Bompani
Luca Benini
Enrico Macii
Massimo Poncino
Daniele Jahier Pagliari
261
3
0
01 Jun 2022
1
2
Next
Page 1 of 2
