A Survey on Distributed Machine Learning

20 December 2019

Papers citing "A Survey on Distributed Machine Learning"

50 / 186 papers shown

Title
AI2: The next leap toward native language based and explainable machine learning framework J. Dessureault Daniel Massicotte 46 1 0 09 Jan 2023
Holistic Network Virtualization and Pervasive Network Intelligence for 6G Xuemin Shen Shen Jie Gao Wen Wu Mushu Li Conghao Zhou W. Zhuang 95 238 0 02 Jan 2023
FedSkip: Combatting Statistical Heterogeneity with Federated Skip Aggregation Ziqing Fan Yanfeng Wang Jiangchao Yao Lingjuan Lyu Ya Zhang Qinghua Tian FedML 72 21 0 14 Dec 2022
Federated Learning Hyper-Parameter Tuning from a System Perspective Huan Zhang Lei Fu Mi Zhang Pengfei Hu Xiuzhen Cheng P. Mohapatra Xin Liu FedML 83 8 0 24 Nov 2022
Entry Dependent Expert Selection in Distributed Gaussian Processes Using Multilabel Classification Hamed Jalali Gjergji Kasneci 66 0 0 17 Nov 2022
SFPDML: Securer and Faster Privacy-Preserving Distributed Machine Learning based on MKTFHE Hongxiao Wang Z. L. Jiang Yanmin Zhao Siu-Ming Yiu Peng Yang Man Chen Zejiu Tan Bohan Jin 50 0 0 17 Nov 2022
An Invitation to Distributed Quantum Neural Networks Lirande Pira C. Ferrie 63 18 0 14 Nov 2022
Fair and Efficient Distributed Edge Learning with Hybrid Multipath TCP Shiva Raj Pokhrel Jinho Choi A. Walid 56 6 0 03 Nov 2022
Client Selection in Federated Learning: Principles, Challenges, and Opportunities Lei Fu Huan Zhang Ge Gao Mi Zhang Xin Liu FedML 83 140 0 03 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Quoc-Viet Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 75 56 0 02 Nov 2022
Distributed Graph Neural Network Training: A Survey Yingxia Shao Hongzheng Li Xizhi Gu Hongbo Yin Yawen Li Xupeng Miao Wentao Zhang Tengjiao Wang Lei Chen GNN AI4CE 124 65 0 01 Nov 2022
Aggregation in the Mirror Space (AIMS): Fast, Accurate Distributed Machine Learning in Military Settings Ryan Yang Haizhou Du Andre Wibisono Patrick Baker 43 1 0 28 Oct 2022
tf.data service: A Case for Disaggregating ML Input Data Processing Andrew Audibert Yangrui Chen D. Graur Ana Klimovic Jiří Šimša C. A. Thekkath 90 18 0 26 Oct 2022
Local Graph-homomorphic Processing for Privatized Distributed Systems Elsa Rizk Stefan Vlaski Ali H. Sayed FedML 70 1 0 26 Oct 2022
Federated Learning and Meta Learning: Approaches, Applications, and Directions Xiaonan Liu Yansha Deng Arumugam Nallanathan M. Bennis 116 38 0 24 Oct 2022
Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning Ranwa Al Mallah David López OOD 43 6 0 30 Sep 2022
TRBoost: A Generic Gradient Boosting Machine based on Trust-region Method Jiaqi Luo Zihao Wei Junkai Man Shi-qian Xu 67 8 0 28 Sep 2022
The Cost of Training Machine Learning Models over Distributed Data Sources Elia Guerra F. Wilhelmi M. Miozzo Paolo Dini FedML 88 23 0 15 Sep 2022
An Investigation of Smart Contract for Collaborative Machine Learning Model Training Sheng Ding Chenhui Hu 46 2 0 12 Sep 2022
Anomaly Detection through Unsupervised Federated Learning Mirko Nardi Lorenzo Valerio A. Passarella FedML OOD 100 12 0 09 Sep 2022
Communication Efficient Distributed Learning over Wireless Channels Idan Achituve Wenbo Wang Ethan Fetaya Amir Leshem 73 2 0 04 Sep 2022
Machine Learning with Confidential Computing: A Systematization of Knowledge Fan Mo Zahra Tarkhani Hamed Haddadi 94 10 0 22 Aug 2022
Parameter-Parallel Distributed Variational Quantum Algorithm Yun-Fei Niu Shuo Zhang Chen Ding Wansu Bao Heliang Huang 47 4 0 31 Jul 2022
Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization Xingyou Song Sagi Perel Chansoo Lee Greg Kochanski Daniel Golovin 101 27 0 27 Jul 2022
A Survey on Participant Selection for Federated Learning in Mobile Networks Behnaz Soltani Venus Haghighi A. Mahmood Quan.Z Sheng Lina Yao FedML 103 26 0 08 Jul 2022
Compression and Data Similarity: Combination of Two Techniques for Communication-Efficient Solving of Distributed Variational Inequalities Aleksandr Beznosikov Alexander Gasnikov 60 10 0 19 Jun 2022
Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning Romain Chor Abdellatif Zaidi Milad Sefidgaran FedML 76 15 0 06 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 91 413 0 01 Jun 2022
Byzantine-Robust Online and Offline Distributed Reinforcement Learning Yiding Chen Xuezhou Zhang Kai Zhang Mengdi Wang Xiaojin Zhu OffRL 128 18 0 01 Jun 2022
Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision Wei Gao Qi Hu Zhisheng Ye Peng Sun Xiaolin Wang Yingwei Luo Tianwei Zhang Yonggang Wen 119 28 0 24 May 2022
Privacy-Preserving Distributed Machine Learning Made Faster Z. L. Jiang Jiajing Gu Hongxiao Wang Yulin Wu Jun-bin Fang Siu-Ming Yiu Wenjian Luo Xuan Wang FedML 46 3 0 12 May 2022
eFedDNN: Ensemble based Federated Deep Neural Networks for Trajectory Mode Inference Daniel Opoku Mensah Godwin Badu-Marfo Ranwa Al Mallah Bilal Farooq FedML 19 4 0 11 May 2022
EF-BV: A Unified Theory of Error Feedback and Variance Reduction Mechanisms for Biased and Unbiased Compression in Distributed Optimization Laurent Condat Kai Yi Peter Richtárik 107 21 0 09 May 2022
Byzantine Fault Tolerance in Distributed Machine Learning : a Survey Djamila Bouhata Hamouma Moumen Moumen Hamouma Ahcène Bounceur AI4CE 91 8 0 05 May 2022
A Survey on Distributed Online Optimization and Game Xiuxian Li Lihua Xie Na Li OffRL 73 4 0 01 May 2022
Zero-Touch Network on Industrial IoT: An End-to-End Machine Learning Approach Shih-Chun Lin Chia-Hung Lin Wei-Chi Chen AI4CE 24 3 0 26 Apr 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 86 48 0 21 Mar 2022
FlexBlock: A Flexible DNN Training Accelerator with Multi-Mode Block Floating Point Support Seock-Hwan Noh Jahyun Koo Seunghyun Lee Jongse Park Jaeha Kung AI4CE 67 18 0 13 Mar 2022
Similarity-based Label Inference Attack against Training and Inference of Split Learning Junlin Liu Xinchen Lyu Qimei Cui Xiaofeng Tao FedML 88 27 0 10 Mar 2022
Beyond Gradients: Exploiting Adversarial Priors in Model Inversion Attacks Dmitrii Usynin Daniel Rueckert Georgios Kaissis SILM AAML 50 17 0 01 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 100 48 0 18 Feb 2022
Achieving Efficient Distributed Machine Learning Using a Novel Non-Linear Class of Aggregation Functions Haizhou Du Ryan Yang Yijian Chen Qiao Xiang Andre Wibisono Wei Huang 44 0 0 29 Jan 2022
FLoBC: A Decentralized Blockchain-Based Federated Learning Framework M. C. Ghanem Fadi Dawoud Habiba Gamal E. Soliman Hossam Sharara Tamer El-Batt 50 10 0 22 Dec 2021
Compare Where It Matters: Using Layer-Wise Regularization To Improve Federated Learning on Heterogeneous Data Ha Min Son M. Kim Tai-Myoung Chung FedML 75 9 0 01 Dec 2021
HeterPS: Distributed Deep Learning With Reinforcement Learning Based Scheduling in Heterogeneous Environments Ji Liu Zhihua Wu Dianhai Yu Yanjun Ma Danlei Feng Minxu Zhang Xinxuan Wu Xuefeng Yao Dejing Dou 76 49 0 20 Nov 2021
Fairness, Integrity, and Privacy in a Scalable Blockchain-based Federated Learning System Timon Rückel Johannes Sedlmeir Peter Hofmann FedML 78 58 0 11 Nov 2021
FedHe: Heterogeneous Models and Communication-Efficient Federated Learning Chan Yun Hin Edith C.H. Ngai FedML 76 25 0 19 Oct 2021
Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees Aleksandr Beznosikov Peter Richtárik Michael Diskin Max Ryabinin Alexander Gasnikov FedML 67 22 0 07 Oct 2021
FedTune: Automatic Tuning of Federated Learning Hyper-Parameters from System Perspective Huan Zhang Mi Zhang Xin Liu P. Mohapatra Michael DeLucia FedML 87 18 0 06 Oct 2021
LIBRA: Enabling Workload-aware Multi-dimensional Network Topology Optimization for Distributed Training of Large AI Models William Won Saeed Rashidi Sudarshan Srinivasan T. Krishna AI4CE 74 9 0 24 Sep 2021