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Enabling Binary Neural Network Training on the Edge

v1v2v3v4v5v6 (latest)

Enabling Binary Neural Network Training on the Edge

8 February 2021

Piotr Zielinski

George A. Constantinides

ArXiv (abs)PDF HTML

Papers citing "Enabling Binary Neural Network Training on the Edge"

8 / 8 papers shown

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

hls4ml: A Flexible, Open-Source Platform for Deep Learning Acceleration on Reconfigurable Hardware

Jan-Frederik Schulte

Benjamin Ramhorst

Jovan Mitrevski

Nicolò Ghielmetti

...

154

3

0

01 Dec 2025

CycleBNN: Cyclic Precision Training in Binary Neural Networks

CycleBNN: Cyclic Precision Training in Binary Neural Networks

Federico Fontana

437

0

0

28 Sep 2024

BOLD: Boolean Logic Deep Learning

BOLD: Boolean Logic Deep Learning

Van Minh Nguyen

Cristian Ocampo

438

3

0

25 May 2024

Training Machine Learning models at the Edge: A Survey

Training Machine Learning models at the Edge: A Survey

Aymen Rayane Khouas

Mohamed Reda Bouadjenek

513

31

0

05 Mar 2024

An FPGA Architecture for Online Learning using the Tsetlin Machine

An FPGA Architecture for Online Learning using the Tsetlin Machine

Samuel Prescott

Ole-Christoffer Granmo

173

1

0

01 Jun 2023

Improving Robustness Against Adversarial Attacks with Deeply Quantized
Neural Networks

Improving Robustness Against Adversarial Attacks with Deeply Quantized Neural NetworksIEEE International Joint Conference on Neural Network (IJCNN), 2023

Idris Zakariyya

Mounia Kharbouche-Harrari

223

7

0

25 Apr 2023

A comprehensive review of Binary Neural Network

A comprehensive review of Binary Neural NetworkArtificial Intelligence Review (AIR), 2021

443

144

0

11 Oct 2021

ReActNet: Towards Precise Binary Neural Network with Generalized
Activation Functions

ReActNet: Towards Precise Binary Neural Network with Generalized Activation FunctionsEuropean Conference on Computer Vision (ECCV), 2020

Marios Savvides

Kwang-Ting Cheng

673

414

0

07 Mar 2020

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