Collective Learning

v1v2 (latest)

Collective Learning

5 December 2019

Francesco Farina

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Papers citing "Collective Learning"

19 / 19 papers shown

Title
Asynchronous Distributed Learning from Constraints Francesco Farina S. Melacci A. Garulli Antonio Giannitrapani 65 6 0 13 Nov 2019
Distributed Big-Data Optimization via Block-wise Gradient Tracking Ivano Notarnicola Ying Sun G. Scutari G. Notarstefano 105 20 0 22 Aug 2018
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels Bo Han Quanming Yao Xingrui Yu Gang Niu Miao Xu Weihua Hu Ivor Tsang Masashi Sugiyama NoLa 113 2,069 0 18 Apr 2018
Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms Han Xiao Kashif Rasul Roland Vollgraf 283 8,904 0 25 Aug 2017
Federated Multi-Task Learning Virginia Smith Chao-Kai Chiang Maziar Sanjabi Ameet Talwalkar FedML 155 1,809 0 30 May 2017
Federated Learning: Strategies for Improving Communication Efficiency Jakub Konecný H. B. McMahan Felix X. Yu Peter Richtárik A. Suresh Dave Bacon FedML 306 4,646 0 18 Oct 2016
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 433 18,361 0 27 May 2016
Revisiting Distributed Synchronous SGD Jianmin Chen Xinghao Pan R. Monga Samy Bengio Rafal Jozefowicz 87 800 0 04 Apr 2016
Communication-Efficient Learning of Deep Networks from Decentralized Data H. B. McMahan Eider Moore Daniel Ramage S. Hampson Blaise Agüera y Arcas FedML 406 17,486 0 17 Feb 2016
NEXT: In-Network Nonconvex Optimization P. Lorenzo G. Scutari 103 508 0 01 Feb 2016
MXNet: A Flexible and Efficient Machine Learning Library for Heterogeneous Distributed Systems Tianqi Chen Mu Li Yutian Li Min Lin Naiyan Wang Minjie Wang Tianjun Xiao Bing Xu Chiyuan Zhang Zheng Zhang 196 2,247 0 03 Dec 2015
Federated Optimization:Distributed Optimization Beyond the Datacenter Jakub Konecný H. B. McMahan Daniel Ramage FedML 120 738 0 11 Nov 2015
Semi-Supervised Learning with Ladder Networks Antti Rasmus Harri Valpola Mikko Honkala Mathias Berglund T. Raiko SSL 96 1,372 0 09 Jul 2015
MLlib: Machine Learning in Apache Spark Xiangrui Meng Joseph K. Bradley Burak Yavuz Evan R. Sparks Shivaram Venkataraman ... Reynold Xin Michael Franklin R. Zadeh Matei A. Zaharia Ameet Talwalkar 60 1,784 0 26 May 2015
Distilling the Knowledge in a Neural Network Geoffrey E. Hinton Oriol Vinyals J. Dean FedML 362 19,660 0 09 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.9K 150,115 0 22 Dec 2014
ADADELTA: An Adaptive Learning Rate Method Matthew D. Zeiler ODL 155 6,625 0 22 Dec 2012
Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization Pascal Bianchi J. Jakubowicz 119 256 0 13 Jul 2011
Distributed Consensus Algorithms in Sensor Networks: Link Failures and Channel Noise S. Kar José M. F. Moura 117 672 0 25 Nov 2007