Reliable Federated Learning for Mobile Networks

14 October 2019

Dusit Niyato

Yang Zhang

Papers citing "Reliable Federated Learning for Mobile Networks"

45 / 45 papers shown

Title
Enhancing the Performance of Global Model by Improving the Adaptability of Local Models in Federated Learning Wujun Zhou Shu Ding Zechao Li Wei Wang FedML 24 0 0 15 May 2025
Intelligent Attacks and Defense Methods in Federated Learning-enabled Energy-Efficient Wireless Networks Han Zhang Hao Zhou Medhat H. M. Elsayed Majid Bavand Raimundas Gaigalas Yigit Ozcan Melike Erol-Kantarci AAML 72 0 0 25 Apr 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions Maryam Ebrahimi Rajeev Sahay Seyyedali Hosseinalipour Bita Akram 44 1 0 20 Jan 2025
Enhancing Quantum Security over Federated Learning via Post-Quantum Cryptography Pingzhi Li Tianlong Chen Junyu Liu FedML 28 1 0 06 Sep 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 36 31 0 27 Dec 2023
BFRT: Blockchained Federated Learning for Real-time Traffic Flow Prediction Collin Meese Hang Chen Syed Ali Asif Wanxin Li Chien-Chung Shen Mark M. Nejad 27 22 0 28 May 2023
Keep It Simple: Fault Tolerance Evaluation of Federated Learning with Unreliable Clients Victoria Huang S. Sohail Michael Mayo T. Lorido-Botran Mark Rodrigues Chris Anderson Melanie Ooi FedML 18 2 0 16 May 2023
A Survey of Federated Evaluation in Federated Learning Behnaz Soltani Yipeng Zhou Venus Haghighi John C. S. Lui FedML 36 12 0 14 May 2023
Joint Age-based Client Selection and Resource Allocation for Communication-Efficient Federated Learning over NOMA Networks Bibo Wu Fang Fang Xianbin Wang 41 19 0 18 Apr 2023
No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier Zexi Li Xinyi Shang Rui He Tao R. Lin Chao Wu FedML 47 54 0 17 Mar 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 36 21 0 20 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei Chen Shuicheng Yan Min-Bin Lin FedML 36 10 0 28 Jan 2023
IronForge: An Open, Secure, Fair, Decentralized Federated Learning Guangsheng Yu Xu Wang Caijun Sun Qin Wang Ping Yu Wei Ni R. Liu Xiwei Xu OOD AI4CE 29 25 0 07 Jan 2023
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine A. Chaddad Qizong Lu Jiali Li Y. Katib R. Kateb C. Tanougast Ahmed Bouridane Ahmed Abdulkadir OOD 24 38 0 17 Nov 2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data Xin Zhang Minghong Fang Zhuqing Liu Haibo Yang Jia-Wei Liu Zhengyuan Zhu FedML 25 14 0 17 Aug 2022
A Survey on Collaborative DNN Inference for Edge Intelligence Weiqing Ren Yuben Qu Chao Dong Yuqian Jing Hao Sun Qihui Wu Song Guo 36 49 0 16 Jul 2022
Interference Management for Over-the-Air Federated Learning in Multi-Cell Wireless Networks Zhibin Wang Yong Zhou Yuanming Shi W. Zhuang 35 68 0 06 Jun 2022
Edge Learning for B5G Networks with Distributed Signal Processing: Semantic Communication, Edge Computing, and Wireless Sensing Wei Xu Zhaohui Yang Derrick Wing Kwan Ng Marco Levorato Yonina C. Eldar Mérouane Debbah 28 398 0 01 Jun 2022
Federated learning: Applications, challenges and future directions Subrato Bharati Hossain Mondal Prajoy Podder V. B. Surya Prasath FedML 39 53 0 18 May 2022
Blockchain-based Secure Client Selection in Federated Learning Truc D. T. Nguyen Phuc Thai Tre' R. Jeter Thang N. Dinh My T. Thai 27 12 0 11 May 2022
A Comprehensive Review on Blockchains for Internet of Vehicles: Challenges and Directions Brian Hildebrand Mohamed Baza Tara Salman Fathi H. Amsaad Abdul Razaqu Abdullah Alourani 33 45 0 21 Mar 2022
PerFED-GAN: Personalized Federated Learning via Generative Adversarial Networks Xingjian Cao Gang Sun Hongfang Yu Mohsen Guizani FedML 24 56 0 18 Feb 2022
Energy-Aware Edge Association for Cluster-based Personalized Federated Learning Yixuan Li Xiaoqi Qin H. Chen K. Han Ping Zhang FedML 33 13 0 06 Feb 2022
Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT Peiying Zhang Chao Wang Chunxiao Jiang Zhu Han FedML 7 145 0 03 Feb 2022
DearFSAC: An Approach to Optimizing Unreliable Federated Learning via Deep Reinforcement Learning Chenghao Huang Weilong Chen Yuxi Chen Shunji Yang Yanru Zhang FedML 21 2 0 30 Jan 2022
Towards a Secure and Reliable Federated Learning using Blockchain Hajar Moudoud Soumaya Cherkaoui L. Khoukhi 23 32 0 27 Jan 2022
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective Xuezhen Tu Kun Zhu Nguyen Cong Luong Dusit Niyato Yang Zhang Juan Li FedML AI4CE 38 119 0 20 Nov 2021
Towards Fairness-Aware Federated Learning Yuxin Shi Han Yu Cyril Leung FedML 21 79 0 02 Nov 2021
Semi-Supervised Federated Learning with non-IID Data: Algorithm and System Design Zhe Zhang Shiyao Ma Jiangtian Nie Yi Wu Qiang Yan Xiaoke Xu Dusit Niyato FedML 18 16 0 26 Oct 2021
Federated Learning over Wireless IoT Networks with Optimized Communication and Resources Student Member Ieee Hao Chen Shaocheng Huang Deyou Zhang Ming Xiao Fellow Ieee Mikael Skoglund L. F. I. H. Vincent Poor 28 94 0 22 Oct 2021
Federated learning and next generation wireless communications: A survey on bidirectional relationship Debaditya Shome Omer Waqar Wali Ullah Khan 29 31 0 14 Oct 2021
Federated Learning via Plurality Vote Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 24 8 0 06 Oct 2021
Blockchain-based Trustworthy Federated Learning Architecture Sin Kit Lo Yue Liu Qinghua Lu Chen Wang Xiwei Xu Hye-Young Paik Liming Zhu FedML 32 18 0 16 Aug 2021
Evaluating Federated Learning for Intrusion Detection in Internet of Things: Review and Challenges Enrique Mármol Campos Pablo Fernández Saura Aurora González-Vidal José Luis Hernández Ramos Jorge Bernal Bernabé G. Baldini A. Gómez-Skarmeta 41 149 0 02 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
Management of Resource at the Network Edge for Federated Learning Silvana Trindade L. Bittencourt N. Fonseca 22 6 0 07 Jul 2021
Low-Latency Federated Learning over Wireless Channels with Differential Privacy Kang Wei Jun Li Chuan Ma Ming Ding Cailian Chen Shi Jin Zhu Han H. Vincent Poor FedML 35 73 0 20 Jun 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 38 401 0 05 Apr 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
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
An Incentive Mechanism for Federated Learning in Wireless Cellular network: An Auction Approach T. Le N. H. Tran Y. Tun Minh N. H. Nguyen Shashi Raj Pandey Zhu Han Choong Seon Hong FedML 15 152 0 22 Sep 2020
Privacy-preserving Traffic Flow Prediction: A Federated Learning Approach Yi Liu James J. Q. Yu Jiawen Kang Dusit Niyato Shuyu Zhang AI4TS 19 442 0 19 Mar 2020
On the Convergence of Artificial Intelligence and Distributed Ledger Technology: A Scoping Review and Future Research Agenda Konstantin D. Pandl Scott Thiebes Manuel Schmidt-Kraepelin Ali Sunyaev 32 69 0 29 Jan 2020
PPGAN: Privacy-preserving Generative Adversarial Network Yi Liu Jialiang Peng James J. Q. Yu Yi Wu 32 70 0 04 Oct 2019
Energy-Efficient Processing and Robust Wireless Cooperative Transmission for Edge Inference Kai Yang Yuanming Shi Wei Yu Z. Ding 16 42 0 29 Jul 2019