Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges

14 November 2021

Mohammad M. Al-Quraan

Mérouane Debbah

Papers citing "Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges"

50 / 88 papers shown

Title
Sustainable AI: Environmental Implications, Challenges and Opportunities Carole-Jean Wu Ramya Raghavendra Udit Gupta Bilge Acun Newsha Ardalani ... Maximilian Balandat Joe Spisak R. Jain Michael G. Rabbat K. Hazelwood 69 393 0 30 Oct 2021
FairFed: Enabling Group Fairness in Federated Learning Yahya H. Ezzeldin Shen Yan Chaoyang He Emilio Ferrara A. Avestimehr FedML 47 206 0 02 Oct 2021
Federated Learning with Buffered Asynchronous Aggregation John Nguyen Kshitiz Malik Hongyuan Zhan Ashkan Yousefpour Michael G. Rabbat Mani Malek Dzmitry Huba FedML 65 301 0 11 Jun 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Quoc-Viet Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 64 426 0 05 Apr 2021
Perceiver: General Perception with Iterative Attention Andrew Jaegle Felix Gimeno Andrew Brock Andrew Zisserman Oriol Vinyals João Carreira VLM ViT MDE 122 999 0 04 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 282 855 0 01 Mar 2021
Sustainable Federated Learning Başak Güler Aylin Yener 22 14 0 22 Feb 2021
Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang Minghong Fang Jia Liu FedML 32 254 0 27 Jan 2021
Reconfigurable Intelligent Surface Enabled Federated Learning: A Unified Communication-Learning Design Approach Hang Liu Xiaojun Yuan Y. Zhang 38 125 0 20 Nov 2020
Stochastic Client Selection for Federated Learning with Volatile Clients Tiansheng Huang Weiwei Lin Li Shen Keqin Li Albert Y. Zomaya FedML 72 98 0 17 Nov 2020
Budgeted Online Selection of Candidate IoT Clients to Participate in Federated Learning Ihab Mohammed Shadha Tabatabai Ala I. Al-Fuqaha Faissal El Bouanani Junaid Qadir Basheer Qolomany Mohsen Guizani 35 60 0 16 Nov 2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee Tiansheng Huang Weiwei Lin Wentai Wu Ligang He Keqin Li Albert Y. Zomaya FedML 92 224 0 03 Nov 2020
Particle Swarm Optimized Federated Learning For Industrial IoT and Smart City Services Basheer Qolomany Kashif Ahmad Ala I. Al-Fuqaha Junaid Qadir 36 63 0 05 Sep 2020
Federated Learning for Channel Estimation in Conventional and RIS-Assisted Massive MIMO Ahmet M. Elbir Sinem Coleri 46 131 0 25 Aug 2020
Federated Learning in the Sky: Aerial-Ground Air Quality Sensing Framework with UAV Swarms Yi Liu Jiangtian Nie Xuandi Li Syed Hassan Ahmed Wei Yang Bryan Lim Chunyan Miao 95 149 0 23 Jul 2020
Deep Anomaly Detection for Time-series Data in Industrial IoT: A Communication-Efficient On-device Federated Learning Approach Yi Liu S. Garg Jiangtian Nie Yan Zhang Zehui Xiong Jiawen Kang M. S. Hossain FedML 51 378 0 19 Jul 2020
Federated Learning in Mobile Edge Computing: An Edge-Learning Perspective for Beyond 5G Shashank Jere Nan Cheng Bodong Shang Lianjun Li Lingjia Liu 92 10 0 15 Jul 2020
Carbontracker: Tracking and Predicting the Carbon Footprint of Training Deep Learning Models Lasse F. Wolff Anthony Benjamin Kanding Raghavendra Selvan HAI 30 305 0 06 Jul 2020
Experiments of Federated Learning for COVID-19 Chest X-ray Images Boyi Liu Bingjie Yan Yize Zhou Yifan Yang Yixian Zhang OOD FedML 40 153 0 05 Jul 2020
FedGAN: Federated Generative Adversarial Networks for Distributed Data M. Rasouli Tao Sun Ram Rajagopal FedML 67 145 0 12 Jun 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Lizhen Qu Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 35 280 0 04 Jun 2020
Wireless Communications for Collaborative Federated Learning Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 24 156 0 03 Jun 2020
Federated Learning in Vehicular Networks Ahmet M. Elbir Burak Soner Sinem Coleri Deniz Gunduz M. Bennis 48 161 0 02 Jun 2020
A Secure Federated Learning Framework for 5G Networks Yi Liu Jia-Jie Peng Jiawen Kang Abdullah M. Iliyasu Dusit Niyato A. El-latif FedML 27 196 0 12 May 2020
FedSplit: An algorithmic framework for fast federated optimization Reese Pathak Martin J. Wainwright FedML 139 183 0 11 May 2020
A Federated Learning Framework for Healthcare IoT devices Binhang Yuan Song Ge Wenhui Xing FedML OOD 25 64 0 07 May 2020
6G White Paper on Edge Intelligence Ella Peltonen M. Bennis M. Capobianco Merouane Debbah Aaron Yi Ding ... S. Samarakoon K. Seppänen Paweł Sroka Sasu Tarkoma Tingting Yang 38 138 0 30 Apr 2020
Federated Machine Learning for Intelligent IoT via Reconfigurable Intelligent Surface Kai Yang Yuanming Shi Yong Zhou Zhanpeng Yang Liqun Fu Wei Chen 31 143 0 13 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 279 1,950 0 11 Apr 2020
A Blockchain-based Decentralized Federated Learning Framework with Committee Consensus Yuzheng Li Chuan Chen Nan Liu Huawei Huang Zibin Zheng Qiang Yan FedML 41 399 0 02 Apr 2020
Scheduling for Cellular Federated Edge Learning with Importance and Channel Awareness Jinke Ren Yinghui He Dingzhu Wen Guanding Yu Kaibin Huang Dongning Guo 52 194 0 01 Apr 2020
Binary Neural Networks: A Survey Haotong Qin Ruihao Gong Xianglong Liu Xiao Bai Jingkuan Song N. Sebe MQ 83 463 0 31 Mar 2020
Survey of Personalization Techniques for Federated Learning V. Kulkarni Milind Kulkarni Aniruddha Pant FedML 211 328 0 19 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 256 437 0 04 Mar 2020
Adaptive Federated Optimization Sashank J. Reddi Zachary B. Charles Manzil Zaheer Zachary Garrett Keith Rush Jakub Konecný Sanjiv Kumar H. B. McMahan FedML 80 1,417 0 29 Feb 2020
Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework Qiong Wu Kaiwen He Xu Chen 36 282 0 25 Feb 2020
Federated Learning in the Sky: Joint Power Allocation and Scheduling with UAV Swarms Tengchan Zeng Omid Semiari Mohammad Mozaffari Mingzhe Chen Walid Saad M. Bennis FedML 24 150 0 19 Feb 2020
Personalized Federated Learning: A Meta-Learning Approach Alireza Fallah Aryan Mokhtari Asuman Ozdaglar FedML 136 566 0 19 Feb 2020
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning Peter Henderson Jie Hu Joshua Romoff Emma Brunskill Dan Jurafsky Joelle Pineau 61 444 0 31 Jan 2020
Artificial Intelligence Aided Next-Generation Networks Relying on UAVs Xinyu Liu Mingzhe Chen Yuanwei Liu Yue Chen Shuguang Cui L. Hanzo 12 48 0 28 Jan 2020
Dynamic Network Slicing for Scalable Fog Computing Systems with Energy Harvesting Yong Xiao Marwan Krunz 39 60 0 28 Jan 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 37 296 0 22 Jan 2020
One-Bit Over-the-Air Aggregation for Communication-Efficient Federated Edge Learning: Design and Convergence Analysis Guangxu Zhu Yuqing Du Deniz Gunduz Kaibin Huang 49 309 0 16 Jan 2020
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 98 6,177 0 10 Dec 2019
Parallel Distributed Logistic Regression for Vertical Federated Learning without Third-Party Coordinator Shengwen Yang Bing Ren Xuhui Zhou Liping Liu OOD FedML 26 132 0 22 Nov 2019
Generative Models for Effective ML on Private, Decentralized Datasets S. Augenstein H. B. McMahan Daniel Ramage Swaroop Indra Ramaswamy Peter Kairouz Mingqing Chen Rajiv Mathews Blaise Agüera y Arcas SyDa 45 182 0 15 Nov 2019
Quantifying the Carbon Emissions of Machine Learning Alexandre Lacoste A. Luccioni Victor Schmidt Thomas Dandres 66 688 0 21 Oct 2019
Resource Allocation in Mobility-Aware Federated Learning Networks: A Deep Reinforcement Learning Approach H. T. Nguyen Nguyen Cong Luong Jun Zhao Chau Yuen Dusit Niyato 17 55 0 21 Oct 2019
Reliable Federated Learning for Mobile Networks Jiawen Kang Zehui Xiong Dusit Niyato Y. Zou Yang Zhang Mohsen Guizani FedML 35 461 0 14 Oct 2019
SAFA: a Semi-Asynchronous Protocol for Fast Federated Learning with Low Overhead A. Masullo Ligang He Toby Perrett Rui Mao Carsten Maple Majid Mirmehdi 32 311 0 03 Oct 2019