Distributed Learning on Heterogeneous Resource-Constrained Devices

Distributed Learning on Heterogeneous Resource-Constrained Devices

9 June 2020

Papers citing "Distributed Learning on Heterogeneous Resource-Constrained Devices"

16 / 16 papers shown

Title
Federated Optimization in Heterogeneous Networks Tian Li Anit Kumar Sahu Manzil Zaheer Maziar Sanjabi Ameet Talwalkar Virginia Smith FedML 180 5,168 0 14 Dec 2018
Applied Federated Learning: Improving Google Keyboard Query Suggestions Timothy Yang Galen Andrew Hubert Eichner Haicheng Sun Wei Li Nicholas Kong Daniel Ramage F. Beaufays FedML 85 623 0 07 Dec 2018
AI Benchmark: Running Deep Neural Networks on Android Smartphones Andrey D. Ignatov Radu Timofte William Chou Ke Wang Max Wu Tim Hartley Luc Van Gool ELM 68 323 0 02 Oct 2018
Supervised Learning Under Distributed Features Bicheng Ying Kun Yuan Ali H. Sayed 41 43 0 29 May 2018
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 242 1,706 0 14 Apr 2018
Pruning Convolutional Neural Networks for Resource Efficient Inference Pavlo Molchanov Stephen Tyree Tero Karras Timo Aila Jan Kautz CVBM VLM 57 417 0 19 Nov 2016
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations Itay Hubara Matthieu Courbariaux Daniel Soudry Ran El-Yaniv Yoshua Bengio MQ 140 1,863 0 22 Sep 2016
OpenAI Gym Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang Wojciech Zaremba OffRL ODL 214 5,075 0 05 Jun 2016
An Analysis of Deep Neural Network Models for Practical Applications A. Canziani Adam Paszke Eugenio Culurciello 85 1,168 0 24 May 2016
Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning Christian Szegedy Sergey Ioffe Vincent Vanhoucke Alexander A. Alemi 377 14,244 0 23 Feb 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 392 17,453 0 17 Feb 2016
Asynchronous Methods for Deep Reinforcement Learning Volodymyr Mnih Adria Puigdomenech Badia M. Berk Mirza Alex Graves Timothy Lillicrap Tim Harley David Silver Koray Kavukcuoglu 191 8,850 0 04 Feb 2016
Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization Xiangru Lian Yijun Huang Y. Li Ji Liu 135 499 0 27 Jun 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Parallel training of DNNs with Natural Gradient and Parameter Averaging Daniel Povey Xiaohui Zhang Sanjeev Khudanpur FedML 83 251 0 27 Oct 2014
The Arcade Learning Environment: An Evaluation Platform for General Agents Marc G. Bellemare Yavar Naddaf J. Veness Michael Bowling 109 3,004 0 19 Jul 2012