On Consensus-Optimality Trade-offs in Collaborative Deep Learning

On Consensus-Optimality Trade-offs in Collaborative Deep Learning

30 May 2018

Aditya Balu

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Papers citing "On Consensus-Optimality Trade-offs in Collaborative Deep Learning"

15 / 15 papers shown

Title
Differentially Private Federated Learning for Resource-Constrained Internet of Things Rui Hu Yuanxiong Guo E. Ratazzi Yanmin Gong FedML 42 18 0 28 Mar 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 157 572 0 19 Feb 2020
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 50 466 0 14 Oct 2019
A Dual Approach for Optimal Algorithms in Distributed Optimization over Networks César A. Uribe Soomin Lee Alexander Gasnikov A. Nedić 57 137 0 03 Sep 2018
Distributed Stochastic Gradient Tracking Methods Shi Pu A. Nedić 75 293 0 25 May 2018
Gradient Sparsification for Communication-Efficient Distributed Optimization Jianqiao Wangni Jialei Wang Ji Liu Tong Zhang 93 528 0 26 Oct 2017
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu Chinmay Hegde Soumik Sarkar FedML 59 181 0 23 Jun 2017
Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent Xiangru Lian Ce Zhang Huan Zhang Cho-Jui Hsieh Wei Zhang Ji Liu 50 1,235 0 25 May 2017
TernGrad: Ternary Gradients to Reduce Communication in Distributed Deep Learning W. Wen Cong Xu Feng Yan Chunpeng Wu Yandan Wang Yiran Chen Hai Helen Li 163 990 0 22 May 2017
Optimal algorithms for smooth and strongly convex distributed optimization in networks Kevin Scaman Francis R. Bach Sébastien Bubeck Y. Lee Laurent Massoulié 79 331 0 28 Feb 2017
Asynchronous Stochastic Gradient Descent with Delay Compensation Shuxin Zheng Qi Meng Taifeng Wang Wei Chen Nenghai Yu Zhiming Ma Tie-Yan Liu 109 315 0 27 Sep 2016
Distributed Deep Learning Using Synchronous Stochastic Gradient Descent Dipankar Das Sasikanth Avancha Dheevatsa Mudigere K. Vaidyanathan Srinivas Sridharan Dhiraj D. Kalamkar Bharat Kaul Pradeep Dubey GNN 56 170 0 22 Feb 2016
Deep Learning for Detecting Robotic Grasps Ian Lenz Honglak Lee Ashutosh Saxena 119 1,647 0 16 Jan 2013
Internet of Things (IoT): A Vision, Architectural Elements, and Future Directions J. Gubbi Rajkumar Buyya S. Marusic M. Palaniswami 127 10,912 0 01 Jul 2012
HOGWILD!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent Feng Niu Benjamin Recht Christopher Ré Stephen J. Wright 201 2,274 0 28 Jun 2011

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