Training Machine Learning models at the Edge: A Survey

Training Machine Learning models at the Edge: A Survey

5 March 2024

Aymen Rayane Khouas

Mohamed Reda Bouadjenek

Papers citing "Training Machine Learning models at the Edge: A Survey"

15 / 15 papers shown

Title
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 19 0 0 13 Apr 2025
Training-Free Dataset Pruning for Instance Segmentation Yalun Dai Lingao Xiao Ivor W. Tsang Yang He ISeg 43 0 0 02 Mar 2025
Self-Contrastive Forward-Forward Algorithm Xing Chen Dongshu Liu Jérémie Laydevant Julie Grollier 34 2 0 17 Sep 2024
On-Device Language Models: A Comprehensive Review Jiajun Xu Zhiyuan Li Wei Chen Qun Wang Xin Gao Qi Cai Ziyuan Ling 32 27 0 26 Aug 2024
Data Quality in Edge Machine Learning: A State-of-the-Art Survey M. D. Belgoumri Mohamed Reda Bouadjenek Sunil Aryal Hakim Hacid 16 1 0 01 Jun 2024
Text-to-Audio Generation using Instruction-Tuned LLM and Latent Diffusion Model Deepanway Ghosal Navonil Majumder Ambuj Mehrish Soujanya Poria 138 141 0 24 Apr 2023
SparCL: Sparse Continual Learning on the Edge Zifeng Wang Zheng Zhan Yifan Gong Geng Yuan Wei Niu T. Jian Bin Ren Stratis Ioannidis Yanzhi Wang Jennifer Dy CLL 55 59 0 20 Sep 2022
Modular Federated Learning Kuo-Yun Liang A. Srinivasan J. C. Andresen FedML 24 7 0 07 Sep 2022
FL_PyTorch: optimization research simulator for federated learning Konstantin Burlachenko Samuel Horváth Peter Richtárik FedML 19 18 0 07 Feb 2022
A Variational Bayesian Approach to Learning Latent Variables for Acoustic Knowledge Transfer Hu Hu Sabato Marco Siniscalchi Chao-Han Huck Yang Chin-Hui Lee BDL 23 6 0 16 Oct 2021
Federated Learning in ASR: Not as Easy as You Think Wentao Yu J. Freiwald Soren Tewes F. Huennemeyer D. Kolossa FedML 24 17 0 30 Sep 2021
A Joint Energy and Latency Framework for Transfer Learning over 5G Industrial Edge Networks Bofu Yang Omobayode Fagbohungbe Xuelin Cao Chau Yuen Lijun Qian Dusit Niyato Yan Zhang 24 31 0 19 Apr 2021
Blind Federated Edge Learning M. Amiri T. Duman Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 58 92 0 19 Oct 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 563 0 27 Jul 2020
Secure and Robust Machine Learning for Healthcare: A Survey A. Qayyum Junaid Qadir Muhammad Bilal Ala I. Al-Fuqaha AAML OOD 31 371 0 21 Jan 2020