Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

27 March 2019

Papers citing "Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools"

10 / 10 papers shown

Title
Acceleration for Deep Reinforcement Learning using Parallel and Distributed Computing: A Survey Zhihong Liu Xin Xu Peng Qiao Dongsheng Li OffRL 20 2 0 08 Nov 2024
Going Forward-Forward in Distributed Deep Learning Ege Aktemur Ege Zorlutuna Kaan Bilgili Tacettin Emre Bok Berrin Yanikoglu Suha Orhun Mutluergil FedML 16 1 0 30 Mar 2024
Convergence Analysis of Decentralized ASGD Mauro Dalle Lucca Tosi Martin Theobald 13 2 0 07 Sep 2023
The Evolution of Distributed Systems for Graph Neural Networks and their Origin in Graph Processing and Deep Learning: A Survey Jana Vatter R. Mayer Hans-Arno Jacobsen GNN AI4TS AI4CE 29 23 0 23 May 2023
Containerisation for High Performance Computing Systems: Survey and Prospects Naweiluo Zhou Huan Zhou Dennis Hoppe 15 25 0 16 Dec 2022
Optimising Communication Overhead in Federated Learning Using NSGA-II José Á. Morell Z. Dahi Francisco Chicano Gabriel Luque Enrique Alba FedML 14 11 0 01 Apr 2022
ACE: Towards Application-Centric Edge-Cloud Collaborative Intelligence Luhui Wang Cong Zhao Shusen Yang Xinyu Yang Julie McCann 14 1 0 24 Mar 2022
A Survey on Deep Learning in Medical Image Analysis G. Litjens Thijs Kooi B. Bejnordi A. Setio F. Ciompi Mohsen Ghafoorian Jeroen van der Laak Bram van Ginneken C. I. Sánchez OOD 278 10,544 0 19 Feb 2017
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,290 0 05 Nov 2016
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation Yonghui Wu M. Schuster Z. Chen Quoc V. Le Mohammad Norouzi ... Alex Rudnick Oriol Vinyals G. Corrado Macduff Hughes J. Dean AIMat 716 6,724 0 26 Sep 2016