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
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 59 0 0 08 May 2025
FedCAPrivacy: Privacy-Preserving Heterogeneous Federated Learning with Anonymous Adaptive Clustering Yunan Wei Shengnan Zhao Chuan Zhao Zhe Liu Zhenxiang Chen Minghao Zhao FedML 37 0 0 30 Mar 2025
A Comprehensive Review on Understanding the Decentralized and Collaborative Approach in Machine Learning S. Saif Md Jahirul Islam Md. Zihad Bin Jahangir Parag Biswas Abdur Rashid Md Abdullah Al Nasim Kishor Datta Gupta 63 0 0 12 Mar 2025
Principles and Components of Federated Learning Architectures S. Saif Md Abdullah Al Nasim Parag Biswas Abdur Rashid Md. Mahim Anjum Haque Md. Zihad Bin Jahangir Kishor Datta Gupta FedML 66 1 0 07 Feb 2025
Federated Learning for Discrete Optimal Transport with Large Population under Incomplete Information Navpreet Kaur Juntao Chen Yingdong Lu OT FedML 33 0 0 12 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond Chunlu Chen Ji Liu Haowen Tan Xingjian Li Kevin I-Kai Wang Peng Li Kouichi Sakurai Dejing Dou FedML 57 4 0 03 Nov 2024
Decentralized Federated Learning with Model Caching on Mobile Agents Xiaoyu Wang Guojun Xiong Houwei Cao Jian Li Yong Liu FedML 36 1 0 26 Aug 2024
FedGlu: A personalized federated learning-based glucose forecasting algorithm for improved performance in glycemic excursion regions Darpit Dave Kathan Vyas Jagadish K. Jayagopal Alfredo Garcia M. Erraguntla Mark Lawley FedML 31 0 0 25 Aug 2024
Online-Score-Aided Federated Learning: Taming the Resource Constraints in Wireless Networks Md Ferdous Pervej Minseok Choi A. Molisch 33 0 0 12 Aug 2024
Personalized Federated Learning for improving radar based precipitation nowcasting on heterogeneous areas Judith Sáinz-Pardo Díaz María Castrillo Juraj Bartok Ignacio Heredia Cachá Irina Malkin Ondík Ivan Martynovskyi Khadijeh Alibabaei Lisana Berberi Valentin Kozlov Álvaro López García 34 1 0 11 Aug 2024
Model Hijacking Attack in Federated Learning Zheng Li Siyuan Wu Ruichuan Chen Paarijaat Aditya Istemi Ekin Akkus Manohar Vanga Min Zhang Hao Li Yang Zhang FedML AAML 32 0 0 04 Aug 2024
A New Theoretical Perspective on Data Heterogeneity in Federated Optimization Jiayi Wang Shiqiang Wang Rong-Rong Chen Mingyue Ji FedML 30 1 0 22 Jul 2024
Vertical Federated Learning for Effectiveness, Security, Applicability: A Survey Mang Ye Wei Shen Bo Du E. Snezhko Vassili Kovalev PongChi Yuen FedML 80 3 0 25 May 2024
Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy Ghazaleh Shirvani Saeid Ghasemshirazi 37 0 0 05 May 2024
A Survey on Contribution Evaluation in Vertical Federated Learning Yue Cui Chung-ju Huang Yuzhu Zhang Leye Wang Lixin Fan Xiaofang Zhou Qiang Yang FedML 47 5 0 03 May 2024
FLARE: A New Federated Learning Framework with Adjustable Learning Rates over Resource-Constrained Wireless Networks Bingnan Xiao Jingjing Zhang Wei Ni Xin Wang 39 0 0 23 Apr 2024
Asynchronous Federated Reinforcement Learning with Policy Gradient Updates: Algorithm Design and Convergence Analysis Guangchen Lan Dong-Jun Han Abolfazl Hashemi Vaneet Aggarwal Christopher G. Brinton 124 15 0 09 Apr 2024
Robust Federated Learning for Wireless Networks: A Demonstration with Channel Estimation Zexin Fang Bin Han Hans D. Schotten 38 0 0 03 Apr 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 40 1 0 24 Mar 2024
Adaptive Federated Learning Over the Air Chenhao Wang Zihan Chen Nikolaos Pappas Howard H. Yang Tony Q.S. Quek H. Vincent Poor FedML 43 1 0 11 Mar 2024
Federated Learning: Attacks, Defenses, Opportunities, and Challenges Ghazaleh Shirvani Saeid Ghasemshirazi Behzad Beigzadeh FedML 67 3 0 10 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 46 8 0 26 Feb 2024
A Bargaining-based Approach for Feature Trading in Vertical Federated Learning Yue Cui Liuyi Yao Zitao Li Yaliang Li Bolin Ding Xiaofang Zhou FedML 51 1 0 23 Feb 2024
Privacy-Enhancing Collaborative Information Sharing through Federated Learning -- A Case of the Insurance Industry Panyi Dong Zhiyu Quan Brandon Edwards Hans Shih-Han Wang Runhuan Feng Tianyang Wang Patrick Foley Prashant Shah FedML 47 1 0 22 Feb 2024
A GAN-based data poisoning framework against anomaly detection in vertical federated learning Xiaolin Chen Daoguang Zan Wei Li Bei Guan Yongji Wang FedML AAML 19 4 0 17 Jan 2024
Privacy-Preserving in Blockchain-based Federated Learning Systems Sameera K.M. S. Nicolazzo Marco Arazzi Antonino Nocera Rafidha Rehiman K.A. V. P. Mauro Conti 41 25 0 07 Jan 2024
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles Narisu Cha Long Chang 30 0 0 06 Jan 2024
PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning Haiyang Guo Fei Zhu Wenzhuo Liu Xu-Yao Zhang Cheng-Lin Liu CLL 35 6 0 04 Jan 2024
Securing NextG Systems against Poisoning Attacks on Federated Learning: A Game-Theoretic Solution Y. Sagduyu T. Erpek Yi Shi AAML 28 1 0 28 Dec 2023
An Empirical Study of Efficiency and Privacy of Federated Learning Algorithms Sofia Zahri Hajar Bennouri A. Abdelmoniem FedML 18 2 0 24 Dec 2023
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 55 33 0 14 Dec 2023
Layered Randomized Quantization for Communication-Efficient and Privacy-Preserving Distributed Learning Guangfeng Yan Tan Li Tian-Shing Lan Kui Wu Linqi Song 19 6 0 12 Dec 2023
Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights Maryam Ben Driss Essaid Sabir H. Elbiaze Walid Saad 41 7 0 07 Dec 2023
Distributed Continual Learning with CoCoA in High-dimensional Linear Regression Martin Hellkvist Ayça Özçelikkale Anders Ahlén OOD 41 1 0 04 Dec 2023
Evaluating Multi-Global Server Architecture for Federated Learning Asfia Kawnine Hung Cao Atah Nuh Mih Monica Wachowicz 16 0 0 26 Nov 2023
Device Sampling and Resource Optimization for Federated Learning in Cooperative Edge Networks Su Wang Roberto Morabito Seyyedali Hosseinalipour Mung Chiang Christopher G. Brinton FedML 32 8 0 07 Nov 2023
Serverless Federated Learning with flwr-serverless Sanjeev V. Namjoshi Reese Green Krishi Sharma Zhangzhang Si 16 0 0 23 Oct 2023
Improved Communication Efficiency in Federated Natural Policy Gradient via ADMM-based Gradient Updates Guangchen Lan Han Wang James Anderson Christopher G. Brinton Vaneet Aggarwal FedML 32 27 0 09 Oct 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 59 8 0 22 Sep 2023
FedDIP: Federated Learning with Extreme Dynamic Pruning and Incremental Regularization Qianyu Long Christos Anagnostopoulos S. P. Parambath Daning Bi AI4CE FedML 23 2 0 13 Sep 2023
A Comparative Evaluation of FedAvg and Per-FedAvg Algorithms for Dirichlet Distributed Heterogeneous Data Hamza Reguieg Mohammed El Hanjri Mohamed El-Kamili A. Kobbane FedML 25 7 0 03 Sep 2023
A Safe Deep Reinforcement Learning Approach for Energy Efficient Federated Learning in Wireless Communication Networks Nikolaos Koursioumpas Lina Magoula Nikolaos Petropouleas Alexandros-Ioannis Thanopoulos Theodora Panagea Nancy Alonistioti M. A. Gutierrez-Estevez R. Khalili 16 1 0 21 Aug 2023
FedEdge AI-TC: A Semi-supervised Traffic Classification Method based on Trusted Federated Deep Learning for Mobile Edge Computing Pan Wang Zeyi Li Mengyi Fu Zixuan Wang Ze Zhang Minyao Liu 24 0 0 14 Aug 2023
Communication-Efficient Federated Learning over Capacity-Limited Wireless Networks Jae-Bok Yun Yong-Nam Oh Yo-Seb Jeon H. Vincent Poor 28 2 0 20 Jul 2023
Communication-Efficient Split Learning via Adaptive Feature-Wise Compression Yong-Nam Oh Jaeho Lee Christopher G. Brinton Yo-Seb Jeon MQ 36 7 0 20 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 44 250 0 20 Jul 2023
NIPD: A Federated Learning Person Detection Benchmark Based on Real-World Non-IID Data Kangning Yin Zhen Ding Zhi-hua Dong Dongsheng Chen Jie Fu Xinhui Ji Guangqiang Yin Zhiguo Wang 17 3 0 28 Jun 2023
Differentially Private Distributed Estimation and Learning Marios Papachristou M. Amin Rahimian FedML 15 2 0 28 Jun 2023
A Safe Genetic Algorithm Approach for Energy Efficient Federated Learning in Wireless Communication Networks Lina Magoula Nikolaos Koursioumpas Alexandros-Ioannis Thanopoulos Theodora Panagea Nikolaos Petropouleas M. A. Gutierrez-Estevez R. Khalili 19 3 0 25 Jun 2023
Blockchain-Enabled Federated Learning: A Reference Architecture Design, Implementation, and Verification Eunsu Goh Dae-Yeol Kim Kwangkee Lee Suyeong Oh Jong-Eui Chae Do-Yup Kim FedML 24 4 0 19 Jun 2023