TinyML: Tools, Applications, Challenges, and Future Research Directions

23 March 2023

Papers citing "TinyML: Tools, Applications, Challenges, and Future Research Directions"

6 / 6 papers shown

Title
Hardware/Software Co-Design of RISC-V Extensions for Accelerating Sparse DNNs on FPGAs Muhammad Sabih Abrarul Karim Jakob Wittmann Frank Hannig J. Teich 68 0 0 28 Apr 2025
TinyFormer: Efficient Transformer Design and Deployment on Tiny Devices Jianlei Yang Jiacheng Liao Fanding Lei Meichen Liu Junyi Chen Lingkun Long Han Wan Bei Yu Weisheng Zhao MoE 29 2 0 03 Nov 2023
Large Language Models Empowered Autonomous Edge AI for Connected Intelligence Yifei Shen Jiawei Shao Xinjie Zhang Zehong Lin Hao Pan Dongsheng Li Jun Zhang Khaled B. Letaief 39 77 0 06 Jul 2023
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments M. Goudarzi M. Palaniswami Rajkumar Buyya OffRL 19 84 0 24 Oct 2021
PhiNets: a scalable backbone for low-power AI at the edge Francesco Paissan Alberto Ancilotto Elisabetta Farella 26 31 0 01 Oct 2021
Benchmarking TinyML Systems: Challenges and Direction Colby R. Banbury Vijay Janapa Reddi Max Lam William Fu A. Fazel ... Jae-sun Seo Jeff Sieracki Urmish Thakker Marian Verhelst Poonam Yadav 96 226 0 10 Mar 2020