Training on the Edge: The why and the how

Training on the Edge: The why and the how

IEEE International Symposium on Parallel & Distributed Processing, Workshops and Phd Forum (IPDPS), 2019

13 February 2019

Olivier Beaumont

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Papers citing "Training on the Edge: The why and the how"

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Title
Real-time Continual Learning on Intel Loihi 2 Elvin Hajizada Danielle Rager Timothy M. Shea L. Campos-Macias Andreas Wild Eyke Hüllermeier Yulia Sandamirskaya Mike Davies CLL OffRL 139 0 0 03 Nov 2025
UltraFlwr -- An Efficient Federated Medical and Surgical Object Detection Framework Yang Li Soumya Snigdha Kundu Maxence Boels Toktam Mahmoodi Sebastien Ourselin Tom Vercauteren Prokar Dasgupta J. Shapey Alejandro Granados FedML 142 1 0 19 Mar 2025
Regularization-based Framework for Quantization-, Fault- and Variability-Aware Training Anmol Biswas Raghav Singhal Sivakumar Elangovan Shreyas Sabnis U. Ganguly MQ 290 2 0 03 Mar 2025
Achieving Pareto Optimality using Efficient Parameter Reduction for DNNs in Resource-Constrained Edge Environment Atah Nuh Mih Alireza Rahimi Asfia Kawnine Francis Palma Monica Wachowicz R. Dubay Hung Cao 222 0 0 14 Mar 2024
Developing a Resource-Constraint EdgeAI model for Surface Defect Detection Atah Nuh Mih Hung Cao Asfia Kawnine Monica Wachowicz 78 0 0 04 Dec 2023
ECAvg: An Edge-Cloud Collaborative Learning Approach using Averaged WeightsIEEE International Conference on Consumer Electronics (ICCE), 2023 Atah Nuh Mih Hung Cao Asfia Kawnine Monica Wachowicz 91 1 0 05 Oct 2023
Performance Analysis of DNN Inference/Training with Convolution and non-Convolution Operations H. Esmaeilzadeh Soroush Ghodrati A. Kahng Sean Kinzer Susmita Dey Manasi S. Sapatnekar Zhiang Wang 161 3 0 29 Jun 2023
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review Daniel Rosendo Alexandru Costan P. Valduriez Gabriel Antoniu 200 102 0 29 Apr 2022
TRIM: A Design Space Exploration Model for Deep Neural Networks Inference and Training AcceleratorsIEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (IEEE TCAD), 2021 Yangjie Qi Shuo Zhang T. Taha 86 6 0 18 May 2021
TinyOL: TinyML with Online-Learning on MicrocontrollersIEEE International Joint Conference on Neural Network (IJCNN), 2021 Haoyu Ren Darko Anicic Thomas Runkler 243 160 0 15 Mar 2021