Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications

2 December 2020

Papers citing "Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications"

25 / 25 papers shown

Title
Biased Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi FedML 44 0 0 08 Mar 2025
Combining Federated Learning and Control: A Survey Jakob Weber Markus Gurtner A. Lobe Adrian Trachte Andreas Kugi FedML AI4CE 26 2 0 12 Jul 2024
Towards Dynamic Resource Allocation and Client Scheduling in Hierarchical Federated Learning: A Two-Phase Deep Reinforcement Learning Approach Xiaojing Chen Zhenyuan Li Wei Ni Xin Wang Shunqing Zhang Yanzan Sun Shugong Xu Qingqi Pei 30 2 0 21 Jun 2024
Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning Houming Qiu Kun Zhu Nguyen Cong Luong Dusit Niyato FedML 23 0 0 07 Jun 2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks Bingnan Xiao Jingjing Zhang Wei Ni Xin Eric Wang 31 0 0 23 Apr 2024
Biased Over-the-Air Federated Learning under Wireless Heterogeneity Muhammad Faraz Ul Abrar Nicolò Michelusi 26 2 0 28 Mar 2024
Multiple Access in the Era of Distributed Computing and Edge Intelligence Nikos G. Evgenidis Nikos A. Mitsiou Vasiliki I. Koutsioumpa Sotiris A. Tegos P. Diamantoulakis G. Karagiannidis 36 8 0 26 Feb 2024
Analog-digital Scheduling for Federated Learning: A Communication-Efficient Approach Muhammad Faraz Ul Abrar Nicolò Michelusi 22 2 0 01 Feb 2024
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 42 33 0 14 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 26 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 12 2 0 05 Dec 2023
UAV Trajectory Planning for AoI-Minimal Data Collection in UAV-Aided IoT Networks by Transformer Botao Zhu E. Bedeer Ha H. Nguyen Robert Barton Zhen Gao 24 79 0 08 Nov 2023
Over-The-Air Federated Learning: Status Quo, Open Challenges, and Future Directions Bingnan Xiao Xichen Yu Wei Ni Xin Wang H. Vincent Poor 23 20 0 03 Jul 2023
Blockchained Federated Learning for Internet of Things: A Comprehensive Survey Yanna Jiang Baihe Ma Xu Wang Ping Yu Guangsheng Yu Zhe Wang Weiquan Ni R. Liu AI4CE 22 19 0 08 May 2023
Intelligent Computing: The Latest Advances, Challenges and Future Shiqiang Zhu Ting Yu Tao Xu Hongyang Chen Schahram Dustdar ... Tariq S. Durrani Huaimin Wang Jiangxing Wu Tongyi Zhang Yunhe Pan AI4CE 22 117 0 21 Nov 2022
Machine Learning-Aided Operations and Communications of Unmanned Aerial Vehicles: A Contemporary Survey Harrison Kurunathan Hailong Huang Kai Li Wei Ni E. Hossain 10 70 0 07 Nov 2022
Explainable AI over the Internet of Things (IoT): Overview, State-of-the-Art and Future Directions Senthil Kumar Jagatheesaperumal Viet Quoc Pham Rukhsana Ruby Zhaohui Yang Chunmei Xu Zhaoyang Zhang 19 50 0 02 Nov 2022
Privacy Preserving Machine Learning for Electric Vehicles: A Survey Abdul Rahman Sani M. Hassan Jinjun Chen 22 10 0 17 May 2022
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 19 31 0 14 Oct 2021
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence Emna Baccour N. Mhaisen A. Abdellatif A. Erbad Amr M. Mohamed Mounir Hamdi Mohsen Guizani 26 86 0 04 May 2021
Convergence of Update Aware Device Scheduling for Federated Learning at the Wireless Edge M. Amiri Deniz Gunduz Sanjeev R. Kulkarni H. Vincent Poor 63 169 0 28 Jan 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML Aniruddh Raghu M. Raghu Samy Bengio Oriol Vinyals 170 639 0 19 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 144 1,680 0 14 Apr 2018
Stochastic Nonconvex Optimization with Large Minibatches Weiran Wang Nathan Srebro 34 26 0 25 Sep 2017
Optimal Distributed Online Prediction using Mini-Batches O. Dekel Ran Gilad-Bachrach Ohad Shamir Lin Xiao 166 683 0 07 Dec 2010