Gossip training for deep learning

29 November 2016

Papers citing "Gossip training for deep learning"

21 / 21 papers shown

Title
OmniLearn: A Framework for Distributed Deep Learning over Heterogeneous Clusters S. Tyagi Prateek Sharma 68 0 0 21 Mar 2025
On the effects of similarity metrics in decentralized deep learning under distributional shift Edvin Listo Zec Tom Hagander Eric Ihre-Thomason Sarunas Girdzijauskas FedML 62 0 0 16 Sep 2024
Sequence-to-sequence models in peer-to-peer learning: A practical application Robert Šajina Ivo Ipšić 46 0 0 02 May 2024
Structured Cooperative Learning with Graphical Model Priors Shuang-Yang Li Dinesh Manocha Xinmei Tian Dacheng Tao 38 0 0 16 Jun 2023
Efficient Node Selection in Private Personalized Decentralized Learning Edvin Listo Zec Johan Ostman Olof Mogren D. Gillblad 29 1 0 30 Jan 2023
Olive Branch Learning: A Topology-Aware Federated Learning Framework for Space-Air-Ground Integrated Network Qingze Fang Zhiwei Zhai Shuai Yu Qiong Wu Xiaowen Gong Xu Chen 36 20 0 02 Dec 2022
RCD-SGD: Resource-Constrained Distributed SGD in Heterogeneous Environment via Submodular Partitioning Haoze He Parijat Dube 20 1 0 02 Nov 2022
Asynchronous Training Schemes in Distributed Learning with Time Delay Haoxiang Wang Zhanhong Jiang Chao Liu S. Sarkar D. Jiang Young M. Lee 42 2 0 28 Aug 2022
Decentralized adaptive clustering of deep nets is beneficial for client collaboration Edvin Listo Zec Ebba Ekblom Martin Willbo Olof Mogren Sarunas Girdzijauskas OOD FedML 18 8 0 17 Jun 2022
A Framework for Energy and Carbon Footprint Analysis of Distributed and Federated Edge Learning S. Savazzi Sanaz Kianoush V. Rampa M. Bennis 24 15 0 18 Mar 2021
EventGraD: Event-Triggered Communication in Parallel Machine Learning Soumyadip Ghosh B. Aquino V. Gupta FedML 26 8 0 12 Mar 2021
Decentralized Federated Learning via Mutual Knowledge Transfer Chengxi Li Gang Li P. Varshney FedML 26 106 0 24 Dec 2020
Optimising cost vs accuracy of decentralised analytics in fog computing environments Lorenzo Valerio A. Passarella M. Conti 35 1 0 09 Dec 2020
Distributed Training of Deep Learning Models: A Taxonomic Perspective M. Langer Zhen He W. Rahayu Yanbo Xue 30 76 0 08 Jul 2020
Communication-Efficient Edge AI: Algorithms and Systems Yuanming Shi Kai Yang Tao Jiang Jun Zhang Khaled B. Letaief GNN 29 327 0 22 Feb 2020
Federated Learning with Cooperating Devices: A Consensus Approach for Massive IoT Networks S. Savazzi M. Nicoli V. Rampa FedML 18 306 0 27 Dec 2019
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence Shuiguang Deng Hailiang Zhao Weijia Fang Jianwei Yin Schahram Dustdar Albert Y. Zomaya 74 606 0 02 Sep 2019
Edge Intelligence: Paving the Last Mile of Artificial Intelligence with Edge Computing Zhi Zhou Xu Chen En Li Liekang Zeng Ke Luo Junshan Zhang 44 1,421 0 24 May 2019
MD-GAN: Multi-Discriminator Generative Adversarial Networks for Distributed Datasets Corentin Hardy Erwan Le Merrer B. Sericola GAN 27 181 0 09 Nov 2018
Collaborative Deep Learning in Fixed Topology Networks Zhanhong Jiang Aditya Balu C. Hegde S. Sarkar FedML 32 179 0 23 Jun 2017
The Loss Surfaces of Multilayer Networks A. Choromańska Mikael Henaff Michaël Mathieu Gerard Ben Arous Yann LeCun ODL 186 1,186 0 30 Nov 2014