Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges

30 July 2019

Papers citing "Federated Learning for Wireless Communications: Motivation, Opportunities and Challenges"

50 / 151 papers shown

Title
Towards Federated Learning-Enabled Visible Light Communication in 6G Systems Shimaa A. Naser Lina Bariah Sami Muhaidat Mahmoud Al-Qutayri Ernesto Damiani Merouane Debbah P. C. Sofotasios 34 23 0 07 Oct 2021
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 53 45 0 05 Oct 2021
Layer-wise and Dimension-wise Locally Adaptive Federated Learning Belhal Karimi Ping Li Xiaoyun Li FedML 42 3 0 01 Oct 2021
Paving the Way for Distributed Artificial Intelligence over the Air Guoqing Ma Shuping Dang Chuanting Zhang B. Shihada 27 3 0 24 Sep 2021
Toward Efficient Federated Learning in Multi-Channeled Mobile Edge Network with Layerd Gradient Compression Haizhou Du Xiaojie Feng Qiao Xiang Haoyu Liu 31 0 0 18 Sep 2021
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection Shulai Zhang Zirui Li Quan Chen Wenli Zheng Jingwen Leng Minyi Guo FedML 59 32 0 08 Sep 2021
On Addressing Heterogeneity in Federated Learning for Autonomous Vehicles Connected to a Drone Orchestrator I. Donevski J. J. Nielsen P. Popovski 35 7 0 05 Aug 2021
Communication Efficiency in Federated Learning: Achievements and Challenges Osama Shahid Seyedamin Pouriyeh R. Parizi Quan Z. Sheng Gautam Srivastava Liang Zhao FedML 40 74 0 23 Jul 2021
How Does Cell-Free Massive MIMO Support Multiple Federated Learning Groups? Thanh Tung Vu H. Ngo T. Marzetta M. Matthaiou AI4CE 30 13 0 20 Jul 2021
Personalized Federated Learning over non-IID Data for Indoor Localization Peng Wu Tales Imbiriba Junha Park Sunwoo Kim Pau Closas FedML 25 28 0 09 Jul 2021
Energy Efficient Federated Learning in Integrated Fog-Cloud Computing Enabled Internet-of-Things Networks Mohammed S. Al-Abiad Md. Zoheb Hassan Md. Jahangir Hossain 35 7 0 07 Jul 2021
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions Shaashwat Agrawal Sagnik Sarkar Ons Aouedi Gokul Yenduri Kandaraj Piamrat S. Bhattacharya Praveen Kumar Reddy Maddikunta Thippa Reddy Gadekallu 25 233 0 16 Jun 2021
Over-the-Air Decentralized Federated Learning Yandong Shi Yong Zhou Yuanming Shi FedML 34 41 0 15 Jun 2021
Federated Learning with Spiking Neural Networks Yeshwanth Venkatesha Youngeun Kim Leandros Tassiulas Priyadarshini Panda FedML 33 47 0 11 Jun 2021
Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning Liangqiong Qu Yuyin Zhou Paul Pu Liang Yingda Xia Feifei Wang Ehsan Adeli L. Fei-Fei D. Rubin FedML AI4CE 19 176 0 10 Jun 2021
Towards Explainable Multi-Party Learning: A Contrastive Knowledge Sharing Framework Yuan Gao Jiawei Li Maoguo Gong Yu Xie •. A. K. Qin 22 0 0 14 Apr 2021
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges Mingzhe Chen Deniz Gündüz Kaibin Huang Walid Saad M. Bennis Aneta Vulgarakis Feljan H. Vincent Poor 45 402 0 05 Apr 2021
Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges Dinh C. Nguyen Ming Ding Viet Quoc Pham P. Pathirana Long Bao Jun Seneviratne Jun Li Dusit Niyato Life Fellow Ieee Poor FedML 36 418 0 05 Apr 2021
Optimization of User Selection and Bandwidth Allocation for Federated Learning in VLC/RF Systems Chuanhong Liu Caili Guo Yang Yang Mingzhe Chen H. Vincent Poor Shuguang Cui 13 10 0 05 Mar 2021
Cybersecurity Threats in Connected and Automated Vehicles based Federated Learning Systems Ranwa Al Mallah Godwin Badu-Marfo Bilal Farooq 37 19 0 26 Feb 2021
Emerging Trends in Federated Learning: From Model Fusion to Federated X Learning Shaoxiong Ji Yue Tan Teemu Saravirta Zhiqin Yang Yixin Liu Lauri Vasankari Shirui Pan Guodong Long A. Walid FedML 37 76 0 25 Feb 2021
FedProf: Selective Federated Learning with Representation Profiling Wentai Wu Ligang He Weiwei Lin Carsten Maple FedML 36 1 0 02 Feb 2021
Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challenges Zhaohua Zheng Yize Zhou Yilong Sun Zhang Wang Boyi Liu Keqiu Li 28 102 0 02 Feb 2021
Linear Regression with Distributed Learning: A Generalization Error Perspective Martin Hellkvist Ayça Özçelikkale Anders Ahlén FedML 6 10 0 22 Jan 2021
Fusion of Federated Learning and Industrial Internet of Things: A Survey S. Priya Praveen Kumar Viet Quoc Pham K. Dev Reddy Maddikunta Thippa Reddy Thien Huynh-The AI4CE 33 195 0 04 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 85 110 0 04 Jan 2021
Design and Analysis of Uplink and Downlink Communications for Federated Learning Sihui Zheng Cong Shen Xiang Chen 41 141 0 07 Dec 2020
Distributed Machine Learning for Wireless Communication Networks: Techniques, Architectures, and Applications Shuyan Hu Xiaojing Chen Wei Ni Ekram Hossain Xin Wang AI4CE 50 111 0 02 Dec 2020
Communication-Efficient Federated Distillation Felix Sattler Arturo Marbán R. Rischke Wojciech Samek FedML DD 39 35 0 01 Dec 2020
A Systematic Literature Review on Federated Learning: From A Model Quality Perspective Yi Liu Li Zhang Ning Ge Guanghao Li FedML 36 22 0 01 Dec 2020
Privacy-preserving Collaborative Learning with Automatic Transformation Search Wei Gao Shangwei Guo Tianwei Zhang Han Qiu Yonggang Wen Yang Liu 49 46 0 25 Nov 2020
Multi-Agent Reinforcement Learning in NOMA-aided UAV Networks for Cellular Offloading Ruikang Zhong Xiao-Yang Liu Yuanwei Liu Yue Chen 36 47 0 18 Oct 2020
Wireless for Machine Learning Henrik Hellström J. M. B. D. Silva Mohammad Mohammadi Amiri Mingzhe Chen Viktoria Fodor H. Vincent Poor Carlo Fischione 22 18 0 31 Aug 2020
A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective Sin Kit Lo Qinghua Lu Chen Wang Hye-Young Paik Liming Zhu FedML 48 83 0 22 Jul 2020
Multi-Stage Hybrid Federated Learning over Large-Scale D2D-Enabled Fog Networks Seyyedali Hosseinalipour Sheikh Shams Azam Christopher G. Brinton Nicolò Michelusi Vaneet Aggarwal David J. Love H. Dai 29 91 0 18 Jul 2020
Federated Learning of User Authentication Models H. Hosseini Sungrack Yun Hyunsin Park Christos Louizos Joseph B. Soriaga Max Welling FedML 20 12 0 09 Jul 2020
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions Yi Liu Xingliang Yuan Zehui Xiong Jiawen Kang Xiaofei Wang Dusit Niyato FedML AI4CE 10 279 0 04 Jun 2020
Wireless Communications for Collaborative Federated Learning Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 16 156 0 03 Jun 2020
Intelligent O-RAN for Beyond 5G and 6G Wireless Networks Solmaz Niknam A. Roy Harpreet S. Dhillon Sukhdeep Singh Rahul Banerji Jeffrey H. Reed N. Saxena Seungil Yoon 19 138 0 17 May 2020
Generalization Error for Linear Regression under Distributed Learning Martin Hellkvist Ayça Özçelikkale Anders Ahlén FedML 11 6 0 30 Apr 2020
6G White paper: Research challenges for Trust, Security and Privacy M. Ylianttila R. Kantola A. Gurtov L. Mucchi I. Oppermann ... E. Panayirci H. Haas T. Kumar Basak Ozan Ozparlak J. Roning 19 91 0 24 Apr 2020
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems Yo-Seb Jeon M. Amiri Jun Li H. Vincent Poor 30 9 0 18 Mar 2020
Network-Density-Controlled Decentralized Parallel Stochastic Gradient Descent in Wireless Systems Koya Sato Yasuyuki Satoh D. Sugimura 21 1 0 25 Feb 2020
Convergence Time Optimization for Federated Learning over Wireless Networks Mingzhe Chen H. Vincent Poor Walid Saad Shuguang Cui 22 295 0 22 Jan 2020
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method Bekir Sait Ciftler A. Albaseer Noureddine Lasla M. Abdallah FedML 14 24 0 07 Jan 2020
When Machine Learning Meets Wireless Cellular Networks: Deployment, Challenges, and Applications Ursula Challita Henrik Rydén H. Tullberg 19 67 0 08 Nov 2019
From Server-Based to Client-Based Machine Learning: A Comprehensive Survey Renjie Gu Chaoyue Niu Fan Wu Guihai Chen Chun Hu Chengfei Lyu Zhihua Wu 33 25 0 18 Sep 2019
A Survey on Federated Learning Systems: Vision, Hype and Reality for Data Privacy and Protection Yue Liu Zeyi Wen Zhaomin Wu Sixu Hu Naibo Wang Yuan N. Li Xu Liu Bingsheng He FedML 37 970 0 23 Jul 2019
Machine Learning in IoT Security: Current Solutions and Future Challenges Fatima Hussain Rasheed Hussain Syed Ali Hassan Ekram Hossain 34 517 0 14 Mar 2019
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,033 0 29 Nov 2018