A Survey on Distributed Machine Learning

20 December 2019

Papers citing "A Survey on Distributed Machine Learning"

50 / 186 papers shown

Title
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models Tolga Dimlioglu A. Choromańska 83 4 0 07 Mar 2024
Impact of network topology on the performance of Decentralized Federated Learning Luigi Palmieri Chiara Boldrini Lorenzo Valerio A. Passarella M. Conti 95 7 0 28 Feb 2024
Consensus learning: A novel decentralised ensemble learning paradigm Horia Magureanu Nairi Usher 108 1 0 25 Feb 2024
Wireless Distributed Matrix-Vector Multiplication using Over-the-Air Computation and Analog Coding Jinho Choi 55 1 0 17 Feb 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 96 0 0 08 Feb 2024
Dynamic Byzantine-Robust Learning: Adapting to Switching Byzantine Workers Ron Dorfman Naseem Yehya Kfir Y. Levy 66 2 0 05 Feb 2024
Perfect Multi-User Distributed Computing Ali Khalesi P. Elia 73 2 0 04 Feb 2024
Vertical Federated Image Segmentation Paul K. Mandal Cole Leo 55 0 0 15 Jan 2024
Optimal Data Splitting in Distributed Optimization for Machine Learning Daniil Medyakov Gleb Molodtsov Aleksandr Beznosikov Alexander Gasnikov 75 3 0 15 Jan 2024
Activations and Gradients Compression for Model-Parallel Training Mikhail Rudakov Aleksandr Beznosikov Yaroslav Kholodov Alexander Gasnikov 78 2 0 15 Jan 2024
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise Boyao Wang Yuxing Liu Xiaoyu Wang Tong Zhang 37 5 0 22 Dec 2023
Machine learning and domain decomposition methods -- a survey A. Klawonn M. Lanser J. Weber AI4CE 57 9 0 21 Dec 2023
SCoTTi: Save Computation at Training Time with an adaptive framework Ziyu Li Enzo Tartaglione Van-Tam Nguyen 85 0 0 19 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 80 7 0 07 Dec 2023
The Landscape of Modern Machine Learning: A Review of Machine, Distributed and Federated Learning Omer Subasi Oceane Bel Joseph Manzano Kevin J. Barker FedML OOD PINN 91 2 0 05 Dec 2023
Green Edge AI: A Contemporary Survey Yuyi Mao X. Yu Kaibin Huang Ying-Jun Angela Zhang Jun Zhang 127 21 0 01 Dec 2023
GSC: Generalizable Service Coordination Farzad Mohammadi V. Shah-Mansouri GNN 55 1 0 05 Nov 2023
A Comprehensive Study on Model Initialization Techniques Ensuring Efficient Federated Learning Ishmeet Kaur Adwaita Janardhan Jadhav AIFin FedML 27 3 0 31 Oct 2023
Recipes for calibration and validation of agent-based models in cancer biomedicine Nicolò Cogno Cristian Axenie Roman Bauer V. Vavourakis AI4CE 46 0 0 30 Oct 2023
Blind quantum machine learning with quantum bipartite correlator Changhao Li Boning Li Omar Amer Ruslan Shaydulin Shouvanik Chakrabarti ... Niraj Kumar Charles Lim Ju Li Paola Cappellaro Marco Pistoia 62 4 0 19 Oct 2023
Federated Battery Diagnosis and Prognosis Nur Banu Altinpulluk Deniz Altinpulluk P. Ramanan Noah H. Paulson Feng Qiu Susan Babinec Murat Yildirim 61 0 0 14 Oct 2023
DxPU: Large Scale Disaggregated GPU Pools in the Datacenter Bowen He Xiao Zheng Yuan Chen Weinan Li Yajin Zhou ... Xiaowei Lu Linquan Jiang Qiang Liu Dennis Cai Xiantao Zhang 109 8 0 07 Oct 2023
Collaborative Distributed Machine Learning Sumit Kumar Jha Patrick Lincoln Sascha Rank Ali Sunyaev 70 1 0 28 Sep 2023
Enabling Resource-efficient AIoT System with Cross-level Optimization: A survey Sicong Liu Bin Guo Cheng Fang Ziqi Wang Shiyan Luo Zimu Zhou Zhiwen Yu AI4CE 86 22 0 27 Sep 2023
SPIRT: A Fault-Tolerant and Reliable Peer-to-Peer Serverless ML Training Architecture Amine Barrak Mayssa Jaziri Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 54 2 0 25 Sep 2023
Exploring the Impact of Serverless Computing on Peer To Peer Training Machine Learning Amine Barrak Ranim Trabelsi Fehmi Jaafar Fábio Petrillo 54 4 0 25 Sep 2023
SoK: Distributed Computing in ICN Wei Geng Yulong Zhang Dirk Kutscher Abhishek Kumar Sasu Tarkoma Pan Hui GNN 48 2 0 16 Sep 2023
Analog Multi-Party Computing: Locally Differential Private Protocols for Collaborative Computations Hsuan-Po Liu M. Soleymani Hessam Mahdavifar 77 1 0 24 Aug 2023
Federated K-Means Clustering via Dual Decomposition-based Distributed Optimization V. Yfantis A. Wagner Martin Ruskowski FedML 64 1 0 25 Jul 2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture Zehan Zhu Ye Tian Yan Huang Jinming Xu Shibo He OOD 80 2 0 21 Jul 2023
Variance-reduced accelerated methods for decentralized stochastic double-regularized nonconvex strongly-concave minimax problems Gabriel Mancino-Ball Yangyang Xu 121 8 0 14 Jul 2023
A Survey From Distributed Machine Learning to Distributed Deep Learning Mohammad Dehghani Zahra Yazdanparast 111 0 0 11 Jul 2023
Incentive Allocation in Vertical Federated Learning Based on Bankruptcy Problem Afsana Khan M. T. Thij F. Thuijsman A. Wilbik FedML 98 2 0 07 Jul 2023
Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression Shahar Stein Ioushua Inbar Hasidim O. Shayevitz M. Feder 54 0 0 14 Jun 2023
Lessons from Generalization Error Analysis of Federated Learning: You May Communicate Less Often! Romain Chor Abdellatif Zaidi Milad Sefidgaran Yijun Wan FedML 69 7 0 09 Jun 2023
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Lin Li Yingying Yao FedML 55 3 0 01 Jun 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min Jiafan He Tianhao Wang Quanquan Gu 100 9 0 10 May 2023
A Comparative Analysis of Distributed Linear Solvers under Data Heterogeneity Boris Velasevic Rohit Parasnis Christopher G. Brinton Navid Azizan 33 1 0 20 Apr 2023
Artificial Collective Intelligence Engineering: a Survey of Concepts and Perspectives Roberto Casadei AI4CE 44 15 0 11 Apr 2023
Accelerating Hybrid Federated Learning Convergence under Partial Participation Jieming Bian Lei Wang Kun Yang Cong Shen Jie Xu FedML 118 14 0 10 Apr 2023
ASTRA-sim2.0: Modeling Hierarchical Networks and Disaggregated Systems for Large-model Training at Scale William Won Taekyung Heo Saeed Rashidi Srinivas Sridharan Sudarshan Srinivasan T. Krishna 61 51 0 24 Mar 2023
Multi-Task Model Personalization for Federated Supervised SVM in Heterogeneous Networks Aleksei A. Ponomarenko-Timofeev O. Galinina Ravikumar Balakrishnan N. Himayat Sergey D. Andreev Y. Koucheryavy FedML 58 3 0 17 Mar 2023
Cloudless-Training: A Framework to Improve Efficiency of Geo-Distributed ML Training W. Tan Xiao Shi Cunchi Lv Xiaofang Zhao FedML 58 1 0 09 Mar 2023
Architecting Peer-to-Peer Serverless Distributed Machine Learning Training for Improved Fault Tolerance Amine Barrak Fábio Petrillo Fehmi Jaafar 45 2 0 27 Feb 2023
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 75 1 0 20 Feb 2023
On Feasibility of Server-side Backdoor Attacks on Split Learning Behrad Tajalli Oguzhan Ersoy S. Picek FedML SILM 106 8 0 19 Feb 2023
Similarity, Compression and Local Steps: Three Pillars of Efficient Communications for Distributed Variational Inequalities Aleksandr Beznosikov Martin Takáč Alexander Gasnikov 76 11 0 15 Feb 2023
A Robust Classification Framework for Byzantine-Resilient Stochastic Gradient Descent Shashank Reddy Chirra K. Nadimpalli Shrisha Rao 54 0 0 16 Jan 2023
Federated Learning under Heterogeneous and Correlated Client Availability Angelo Rodio Francescomaria Faticanti Othmane Marfoq Giovanni Neglia Emilio Leonardi FedML 84 27 0 11 Jan 2023
TAPS: Topology-Aware Intra-Operator Parallelism Strategy Searching Algorithm for Deep Neural Networks Peng Liang Hao Zheng Teng Su Linbo Qiao Dongsheng Li 48 0 0 11 Jan 2023