Deep Learning in the Era of Edge Computing: Challenges and Opportunities

17 October 2020

Papers citing "Deep Learning in the Era of Edge Computing: Challenges and Opportunities"

5 / 5 papers shown

Title
Distributed intelligence on the Edge-to-Cloud Continuum: A systematic literature review Daniel Rosendo Alexandru Costan P. Valduriez Gabriel Antoniu 19 80 0 29 Apr 2022
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities Tuo Zhang Lei Gao Chaoyang He Mi Zhang Bhaskar Krishnamachari Salman Avestimehr FedML 24 168 0 15 Nov 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 36 18 0 06 Oct 2021
DeepEdgeBench: Benchmarking Deep Neural Networks on Edge Devices Stephan Patrick Baller Anshul Jindal Mohak Chadha Michael Gerndt 17 71 0 21 Aug 2021
A Brain-inspired Algorithm for Training Highly Sparse Neural Networks Zahra Atashgahi Joost Pieterse Shiwei Liu Decebal Constantin Mocanu Raymond N. J. Veldhuis Mykola Pechenizkiy 35 15 0 17 Mar 2019