Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and
Insights

Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights

7 December 2023

Maryam Ben Driss

Papers citing "Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights"

17 / 17 papers shown

Title
A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach Maryam Ben Driss Essaid Sabir H. Elbiaze Abdoulaye Baniré Diallo M. Sadik 23 0 0 16 Sep 2024
A Zero Trust Framework for Realization and Defense Against Generative AI Attacks in Power Grid M. S. Munir Sravanthi Proddatoori Manjushree Muralidhara Walid Saad Zhu Han Sachin Shetty 23 4 0 11 Mar 2024
The Internet of Federated Things (IoFT): A Vision for the Future and In-depth Survey of Data-driven Approaches for Federated Learning Raed Al Kontar Naichen Shi Xubo Yue Seokhyun Chung E. Byon ... C. Okwudire Garvesh Raskutti R. Saigal Karandeep Singh Ye Zhisheng FedML 25 47 0 09 Nov 2021
DQRE-SCnet: A novel hybrid approach for selecting users in Federated Learning with Deep-Q-Reinforcement Learning based on Spectral Clustering Mohsen Ahmadi Ali Taghavirashidizadeh D. Javaheri Armin Masoumian Saeid Jafarzadeh Ghoushchi Y. Pourasad FedML 27 60 0 07 Nov 2021
Fast, Reliable, and Secure Drone Communication: A Comprehensive Survey Vikas Hassija V. Chamola Adhar Agrawal Adit Goyal Nguyen Cong Luong Dusit Niyato F. R. Yu M. Guizani 29 134 0 04 May 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 180 832 0 01 Mar 2021
Extended Reality (XR) Remote Research: a Survey of Drawbacks and Opportunities J. Ratcliffe F. Soave Nick Bryan-Kinns L. Tokarchuk I. Farkhatdinov 34 119 0 20 Jan 2021
Towards Energy Efficient Federated Learning over 5G+ Mobile Devices Dian Shi Liang Li Rui Chen Pavana Prakash M. Pan Yuguang Fang 31 41 0 13 Jan 2021
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 38 124 0 09 Jan 2021
Federated Learning-Based Risk-Aware Decision toMitigate Fake Task Impacts on CrowdsensingPlatforms Zhiyan Chen Murat Simsek B. Kantarci 27 9 0 04 Jan 2021
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 24 128 0 25 Aug 2020
FedML: A Research Library and Benchmark for Federated Machine Learning Chaoyang He Songze Li Jinhyun So Xiao Zeng Mi Zhang ... Yang Liu Ramesh Raskar Qiang Yang M. Annavaram Salman Avestimehr FedML 162 553 0 27 Jul 2020
IBM Federated Learning: an Enterprise Framework White Paper V0.1 Heiko Ludwig Nathalie Baracaldo Gegi Thomas Yi Zhou Ali Anwar ... Sean Laguna Mikhail Yurochkin Mayank Agarwal Ebube Chuba Annie Abay FedML 124 156 0 22 Jul 2020
Federated Learning for Task and Resource Allocation in Wireless High Altitude Balloon Networks Sihua Wang Mingzhe Chen Changchuan Yin Walid Saad C. Hong Shuguang Cui H. Vincent Poor 26 67 0 19 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 427 0 04 Mar 2020
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 141 1,680 0 14 Apr 2018
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 87 2,158 0 02 Feb 2017