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SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained
  Microcontrollers

SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers

Neural Information Processing Systems (NeurIPS), 2019
28 May 2019
Igor Fedorov
Ryan P. Adams
Matthew Mattina
P. Whatmough
ArXiv (abs)PDFHTML

Papers citing "SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers"

50 / 73 papers shown
Title
Tin-Tin: Towards Tiny Learning on Tiny Devices with Integer-based Neural Network Training
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
223
1
0
13 Apr 2025
"We just did not have that on the embedded system": Insights and Challenges for Securing Microcontroller Systems from the Embedded CTF Competitions
"We just did not have that on the embedded system": Insights and Challenges for Securing Microcontroller Systems from the Embedded CTF Competitions
Zheyuan Ma
Gaoxiang Liu
Alex Eastman
Kai Kaufman
Md. Armanuzzaman
Xi Tan
Katherine Jesse
Robert Walls
Ziming Zhao
173
0
0
11 Mar 2025
Fast Data Aware Neural Architecture Search via Supernet Accelerated Evaluation
Fast Data Aware Neural Architecture Search via Supernet Accelerated EvaluationInternet of Things (IoT), 2025
Emil Njor
Colby R. Banbury
Xenofon Fafoutis
249
2
0
18 Feb 2025
Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment
Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive DeploymentInternational Conference on Artificial Neural Networks (ICANN), 2025
Xubin Wang
Weijia Jia
Weijia Jia
413
21
0
04 Jan 2025
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI
  Accelerators
DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI AcceleratorsNeural Information Processing Systems (NeurIPS), 2024
Taesik Gong
F. Kawsar
Chulhong Min
236
4
0
09 Dec 2024
MCUBERT: Memory-Efficient BERT Inference on Commodity Microcontrollers
MCUBERT: Memory-Efficient BERT Inference on Commodity MicrocontrollersInternational Conference on Computer Aided Design (ICCAD), 2024
Zebin Yang
Renze Chen
Taiqiang Wu
Ngai Wong
Yun Liang
Runsheng Wang
R. Huang
Meng Li
MQ
171
2
0
23 Oct 2024
Studying the Impact of TensorFlow and PyTorch Bindings on Machine
  Learning Software Quality
Studying the Impact of TensorFlow and PyTorch Bindings on Machine Learning Software Quality
Hao Li
Gopi Krishnan Rajbahadur
Cor-Paul Bezemer
133
12
0
07 Jul 2024
Tiny Machine Learning: Progress and Futures
Tiny Machine Learning: Progress and Futures
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Song Han
202
108
0
28 Mar 2024
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with Pruning
DTMM: Deploying TinyML Models on Extremely Weak IoT Devices with PruningIEEE Conference on Computer Communications (INFOCOM), 2024
Lixiang Han
Zhen Xiao
Zhenjiang Li
228
12
0
17 Jan 2024
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Synergy: Towards On-Body AI via Tiny AI Accelerator Collaboration on Wearables
Taesik Gong
S. Jang
Utku Günay Acer
F. Kawsar
Chulhong Min
297
3
0
11 Dec 2023
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive
  Review
Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review
M. Lê
Pierre Wolinski
Julyan Arbel
219
16
0
20 Nov 2023
Rankitect: Ranking Architecture Search Battling World-class Engineers at
  Meta Scale
Rankitect: Ranking Architecture Search Battling World-class Engineers at Meta ScaleThe Web Conference (WWW), 2023
Wei Wen
Kuang-Hung Liu
Igor Fedorov
Xin Zhang
Hang Yin
...
Fangqiu Han
Jiyan Yang
Yuchen Hao
Liang Xiong
Wen-Yen Chen
197
2
0
14 Nov 2023
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices
TinyFormer: Efficient Transformer Design and Deployment on Tiny DevicesIEEE 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
329
5
0
03 Nov 2023
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
Ultra-Efficient On-Device Object Detection on AI-Integrated Smart Glasses with TinyissimoYOLO
Julian Moosmann
Pietro Bonazzi
Yawei Li
Sizhen Bian
Philipp Mayer
Luca Benini
Michele Magno
319
20
0
02 Nov 2023
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a
  Nano-UAV using Floor Plans
Fully Onboard Low-Power Localization with Semantic Sensor Fusion on a Nano-UAV using Floor PlansIEEE International Conference on Robotics and Automation (ICRA), 2023
Nicky Zimmerman
H. Müller
Michele Magno
Luca Benini
218
6
0
19 Oct 2023
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge
  Devices
Edge-InversionNet: Enabling Efficient Inference of InversionNet on Edge Devices
Zhepeng Wang
Isaacshubhanand Putla
Weiwen Jiang
Youzuo Lin
163
3
0
14 Oct 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A
  survey
Enabling Resource-efficient AIoT System with Cross-level Optimization: A surveyIEEE Communications Surveys and Tutorials (COMST), 2023
Sicong Liu
Bin Guo
Cheng Fang
Ziqi Wang
Shiyan Luo
Zimu Zhou
Zhiwen Yu
AI4CE
227
35
0
27 Sep 2023
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for
  Ultra-Low-Power Edge Systems
Flexible and Fully Quantized Ultra-Lightweight TinyissimoYOLO for Ultra-Low-Power Edge SystemsIEEE Access (IEEE Access), 2023
Julian Moosmann
H. Mueller
Nicky Zimmerman
Georg Rutishauser
Luca Benini
Michele Magno
241
14
0
12 Jul 2023
Learning Activation Functions for Sparse Neural Networks
Learning Activation Functions for Sparse Neural Networks
Mohammad Loni
Aditya Mohan
Mehdi Asadi
Marius Lindauer
161
5
0
18 May 2023
The Case for Hierarchical Deep Learning Inference at the Network Edge
The Case for Hierarchical Deep Learning Inference at the Network Edge
Ghina Al-Atat
Andrea Fresa
Adarsh Prasad Behera
Vishnu Narayanan Moothedath
James Gross
J. Champati
133
12
0
23 Apr 2023
Data Aware Neural Architecture Search
Data Aware Neural Architecture Search
Emil Njor
J. Madsen
Xenofon Fafoutis
160
8
0
04 Apr 2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep
  Learning Models on Edge Devices
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices
Yuji Chai
Devashree Tripathy
Chu Zhou
Dibakar Gope
Igor Fedorov
Ramon Matas
David Brooks
Gu-Yeon Wei
P. Whatmough
GNN
155
6
0
26 Jan 2023
Pex: Memory-efficient Microcontroller Deep Learning through Partial
  Execution
Pex: Memory-efficient Microcontroller Deep Learning through Partial Execution
Edgar Liberis
Nicholas D. Lane
286
5
0
30 Nov 2022
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo
Mohammad Malekzadeh
S. Chatterjee
F. Kawsar
Akhil Mathur
FedML
344
4
0
08 Nov 2022
Hardware Accelerator and Neural Network Co-Optimization for
  Ultra-Low-Power Audio Processing Devices
Hardware Accelerator and Neural Network Co-Optimization for Ultra-Low-Power Audio Processing DevicesEuromicro Symposium on Digital Systems Design (DSD), 2022
Christoph Gerum
Adrian Frischknecht
T. Hald
Paul Palomero Bernardo
Konstantin Lubeck
Oliver Bringmann
182
12
0
08 Sep 2022
Design Automation for Fast, Lightweight, and Effective Deep Learning
  Models: A Survey
Design Automation for Fast, Lightweight, and Effective Deep Learning Models: A Survey
Dalin Zhang
Kaixuan Chen
Yan Zhao
B. Yang
Li-Ping Yao
Christian S. Jensen
237
4
0
22 Aug 2022
Machine Learning with Confidential Computing: A Systematization of
  Knowledge
Machine Learning with Confidential Computing: A Systematization of KnowledgeACM Computing Surveys (ACM CSUR), 2022
Fan Mo
Zahra Tarkhani
Hamed Haddadi
327
19
0
22 Aug 2022
Tackling Neural Architecture Search With Quality Diversity Optimization
Tackling Neural Architecture Search With Quality Diversity Optimization
Lennart Schneider
Florian Pfisterer
P. Kent
Juergen Branke
J. Herbinger
Janek Thomas
AI4CE
166
3
0
30 Jul 2022
On-Device Training Under 256KB Memory
On-Device Training Under 256KB MemoryNeural Information Processing Systems (NeurIPS), 2022
Ji Lin
Ligeng Zhu
Wei-Ming Chen
Wei-Chen Wang
Chuang Gan
Song Han
MQ
345
254
0
30 Jun 2022
Machine Learning for Microcontroller-Class Hardware: A Review
Machine Learning for Microcontroller-Class Hardware: A ReviewIEEE Sensors Journal (IEEE Sens. J.), 2022
Swapnil Sayan Saha
S. Sandha
Mani B. Srivastava
411
167
0
29 May 2022
Enable Deep Learning on Mobile Devices: Methods, Systems, and
  Applications
Enable Deep Learning on Mobile Devices: Methods, Systems, and Applications
Han Cai
Ji Lin
Chengyue Wu
Zhijian Liu
Haotian Tang
Hanrui Wang
Ligeng Zhu
Song Han
222
131
0
25 Apr 2022
Depth Pruning with Auxiliary Networks for TinyML
Depth Pruning with Auxiliary Networks for TinyMLIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2022
Josen Daniel De Leon
Rowel Atienza
VLM
215
14
0
22 Apr 2022
Software Engineering Approaches for TinyML based IoT Embedded Vision: A
  Systematic Literature Review
Software Engineering Approaches for TinyML based IoT Embedded Vision: A Systematic Literature ReviewInternational Workshop on Software Engineering Research & Practices for the Internet of Things (ERPIT), 2022
Shashank Bangalore Lakshman
Nasir U. Eisty
105
13
0
19 Apr 2022
Intelligence at the Extreme Edge: A Survey on Reformable TinyML
Intelligence at the Extreme Edge: A Survey on Reformable TinyMLACM Computing Surveys (ACM CSUR), 2022
Visal Rajapakse
Ishan Karunanayake
Nadeem Ahmed
SyDa
153
72
0
02 Apr 2022
YONO: Modeling Multiple Heterogeneous Neural Networks on
  Microcontrollers
YONO: Modeling Multiple Heterogeneous Neural Networks on MicrocontrollersInternational Symposium on Information Processing in Sensor Networks (IPSN), 2022
Young D. Kwon
Jagmohan Chauhan
Cecilia Mascolo
146
14
0
08 Mar 2022
UDC: Unified DNAS for Compressible TinyML Models
UDC: Unified DNAS for Compressible TinyML ModelsNeural Information Processing Systems (NeurIPS), 2022
Igor Fedorov
Ramon Matas
Hokchhay Tann
Chu Zhou
Matthew Mattina
P. Whatmough
AI4CE
234
16
0
15 Jan 2022
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On
  Analog Compute-in-Memory Accelerator
AnalogNets: ML-HW Co-Design of Noise-robust TinyML Models and Always-On Analog Compute-in-Memory Accelerator
Chuteng Zhou
F. García-Redondo
Julian Büchel
I. Boybat
Xavier Timoneda Comas
S. Nandakumar
Shidhartha Das
Abu Sebastian
Corey Lammie
P. Whatmough
128
19
0
10 Nov 2021
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning
MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep LearningNeural Information Processing Systems (NeurIPS), 2021
Ji Lin
Wei-Ming Chen
Han Cai
Chuang Gan
Song Han
246
179
0
28 Oct 2021
Differentiable Network Pruning for Microcontrollers
Differentiable Network Pruning for Microcontrollers
Edgar Liberis
Nicholas D. Lane
218
24
0
15 Oct 2021
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained
  Embedded Devices
AdaCon: Adaptive Context-Aware Object Detection for Resource-Constrained Embedded Devices
Marina Neseem
Sherief Reda
ObjD
111
5
0
16 Aug 2021
Tiny Machine Learning for Concept Drift
Tiny Machine Learning for Concept DriftIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021
Simone Disabato
M. Roveri
146
33
0
30 Jul 2021
LENS: Layer Distribution Enabled Neural Architecture Search in
  Edge-Cloud Hierarchies
LENS: Layer Distribution Enabled Neural Architecture Search in Edge-Cloud HierarchiesDesign Automation Conference (DAC), 2021
Mohanad Odema
Nafiul Rashid
B. U. Demirel
Mohammad Abdullah Al Faruque
147
12
0
20 Jul 2021
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN
  Acceleration
S2TA: Exploiting Structured Sparsity for Energy-Efficient Mobile CNN AccelerationInternational Symposium on High-Performance Computer Architecture (HPCA), 2021
Zhi-Gang Liu
P. Whatmough
Yuhao Zhu
Matthew Mattina
MQ
170
97
0
16 Jul 2021
MLPerf Tiny Benchmark
MLPerf Tiny Benchmark
Colby R. Banbury
Vijay Janapa Reddi
P. Torelli
J. Holleman
Nat Jeffries
...
Videet Parekh
Honson Tran
Nhan Tran
Niu Wenxu
Xu Xuesong
VLM
408
237
0
14 Jun 2021
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Measuring what Really Matters: Optimizing Neural Networks for TinyML
Lennart Heim
Andreas Biri
Zhongnan Qu
Lothar Thiele
180
32
0
21 Apr 2021
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino
  board using LogNNet reservoir neural network
Recognition of handwritten MNIST digits on low-memory 2 Kb RAM Arduino board using LogNNet reservoir neural network
Y. Izotov
Andrei Velichko
A. Ivshin
R. Novitskiy
136
8
0
20 Apr 2021
End-to-end Keyword Spotting using Neural Architecture Search and
  Quantization
End-to-end Keyword Spotting using Neural Architecture Search and QuantizationIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2021
David Peter
Wolfgang Roth
Franz Pernkopf
MQ
115
17
0
14 Apr 2021
TENT: Efficient Quantization of Neural Networks on the tiny Edge with
  Tapered FixEd PoiNT
TENT: Efficient Quantization of Neural Networks on the tiny Edge with Tapered FixEd PoiNT
H. F. Langroudi
Vedant Karia
Tej Pandit
Dhireesha Kudithipudi
MQ
104
11
0
06 Apr 2021
cuConv: A CUDA Implementation of Convolution for CNN Inference
cuConv: A CUDA Implementation of Convolution for CNN InferenceCluster Computing (Cluster Comput.), 2021
Marc Jordà
Pedro Valero-Lara
Antonio J. Peña
3DVBDL
126
15
0
30 Mar 2021
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through
  Simple Power and Timing Side-Channels -- Attacks and Defenses
Leaky Nets: Recovering Embedded Neural Network Models and Inputs through Simple Power and Timing Side-Channels -- Attacks and DefensesIEEE Internet of Things Journal (IEEE IoT Journal), 2021
Saurav Maji
Utsav Banerjee
A. Chandrakasan
AAML
181
40
0
26 Mar 2021
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