Federated learning for 6G communications: Challenges, methods, and future directions

Cited by (466)

Items 301–400 of 466

1. Optimal selection based K‐mean clustering technique to improve the energy efficiency in cognitive radio networks for 6G applications
   S. Esakki Rajavel, T. Aruna, G. Rajakumar · 2021 · International Journal of Communication Systems
2. FLaaS6G: Federated Learning as a Service in 6G Using Distributed Data Management Architecture
   Wenxuan Ye, Xueli Ant, Xueqiang Yan · 2022 · Globecom
3. Artificial Intelligence Enhanced Signal Processing in Low-Profile Wearable Wideband Antenna for Future 5G Wireless communications
   Vanitha Rani Rentapalli, Bappadittya Roy · 2023 · International Conference on Artificial Intelligence and Signal Processing (AISP)
4. Multi-Layer Collaborative Federated Learning architecture for 6G Open RAN
   Borui Zhao, Qimei Cui, Wei Ni · 2024 · Wireless Networks
5. An Overview of Federated Learning at the Edge and Distributed Ledger Technologies for Robotic and Autonomous Systems.
   Xianjia Yu, Jorge Peña Queralta, Jukka Heikkonen, Tomi Westerlund · 2021 · arXiv (Cornell University)
6. A Distributed Aggregation Approach for Vehicular Federated Learning
   Lucas Pacheco, Torsten Ingo Braun, Dênis Rosário, Antonio Di Maio, Eduardo Cerqueira · 2024 · IEEE Access
7. Efficient security service function chaining based on federated learning in edge networks
   Yunjian Jia, Jian Yu, Liang Liang, Fang Fang, Wanli Wen · 2025 · Computer Communications
8. A Survey on Privacy-Preserving Enabled Healthcare Services Focusing on Robust Aggregation
   Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, B. Jayaprakash, B. Bharathi, Prabhat Kumar Sahu, Gaurav Sharma, Vivek Bhardwaj · 2025 · International Journal of Computational Intelligence Systems
9. Empowering Patient Similarity Networks through Innovative Data-Quality-Aware Federated Profiling
   Alramzana Nujum Navaz, Mohamed Adel Serhani, Hadeel T. El Kassabi, Ikbal Taleb · 2023 · Sensors
10. Hybrid NOMA for Latency Minimization in Wireless Federated Learning for 6G Networks
    P. Kavitha, K. Kavitha · 2023 · Radioengineering
11. Topology-Driven Synchronization Interval Optimization for Latency-Constrained Geo-Decentralized Federated Learning
    Qi Chen, Wei Yu, Xinchen Lyu, Zimeng Jia, Guoshun Nan, Qimei Cui · 2024 · IEEE Open Journal of the Communications Society
12. Introduction to Wireless Local Area Network
    Shiban Kishen Koul, Somanatha Pai Swapna, G. S. Karthikeya · 2024 · Signals and communication technology
13. Digital Twin Aided Predictive Scheduling and Bandwidth Allocation for Multi-Vehicle Cooperative Perception Systems
    Binbin Lu, Xumin Huang, Yuan Wu · 2024 · IEEE Vehicular Technology Conference
14. Research Perspectives of AI in 5G and 6G
    J. Banumathi · 2024 · Advances in wireless technologies and telecommunication book series
15. Federated learning for sustainable intrusion detection systems: A review of green computing strategies and future directions
    J. Jithish, Nagarajan Mahalingam, Bo Wang, Kiat Seng Yeo · 2025 · Internet of Things
16. Federated Learning for Spanish Ports as an Aid to Digitization
    Nicoletta González–Cancelas, Beatriz Molina Serrano, Francisco Soler Flores · 2021 · Journal of Konbin
17. Edge-Cloud Collaborative Computation Offloading for Federated Learning in Smart City
    Kai Peng, Haoqi Zhang, Bohai Zhao, Peichen Liu · 2022 · IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech)
18. Load Demand Prediction for Electric Vehicles Smart Charging through Consensus-based Federated Learning
    Danilo Menegatti, Antonio Pietrabissa, Sabato Manfredi, Alessandro Giuseppi · 2023 · Mediterranean Conference on Control and Automation (MED)
19. The Role of Humans as Key Enablers of Industry 5.0
    Elda Dollija, Kriselda Sulçaj Gura · 2024 · Springer proceedings in business and economics
20. Integrating the Industrial Revolution 5.0 With AI
    Sridhar Raj Sankara Vadivel · 2024 · Advances in logistics, operations, and management science book series
21. ANN-Based LiDAR Positioning System for B5G
    Egídio Raimundo Neto, Matheus Ferreira Silva, Tomas Powell Villena Andrade, Arismar Cerqueira S. · 2024 · Micromachines
22. Federated Learning: Achieving Scalable and Privacy-Preserving Machine Learning
    Harsh Bansal, Kanu Goel · 2023 · International Conference on Image Information Processing (ICIIP)
23. Artificial Intelligence-Enabled 6G Mobile Systems
    Ahrar Bin Aslam, Faiza Iqbal, Unzela Talpur, Zafi Sherhan Syed, Faisal Karim Shaikh · 2024 · Signals and communication technology
24. 6G Scenarios and Network Design Principles
    Shylaja · 2022 · Journal of Machine and Computing
25. Resource Allocation Based on Reinforcement Learning for Heterogeneous Air Network
    Shuai Wu · 2023 · IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
26. On Cascaded Federated Learning for Multi-tier Predictive Models
    Abdulrahman Alabbasi, Milad Ganjalizadeh, Konstantinos Vandikas · 2021 · IEEE International Conference on Communications workshops
27. Olive Branch Learning: A Novel Federated Learning Framework for Space-Air-Ground Integrated Network
    Qingze Fang, Shuai Yu, Xu Chen · 2021
28. 6G Vision: An Ultra-Flexible Perspective
    Ahmet Yazar, Seda Doğan-Tusha, Hüseyin Arslan · 2020 · arXiv (Cornell University)
29. Security in Federated Learning Enabled 6g Era: A Review on Conceptual Techniques and Software Platforms Used for Research and Analysis
    Syed Hussain Ali Kazmi, Faizan Qamar, Rosilah Binti Hassan, Kashif Nisar, Mohammed Azmi Al‐Betar · 2023 · SSRN Electronic Journal
30. Pedestrian Sensing and Positioning System Using 2D-LiDAR Based on Artificial Neural Networks Toward 6G
    Egídio Raimundo Neto, Matheus Ferreira Silva, Arismar Cerqueira S. · 2024 · IEEE Access
31. Privacy-preserving Data Sharing with Incomplete Data for Smart Grids: A Federated Imputation Approach
    Jiangang Lu, Yi Tang, Chenwei Yang, Mingxin Lu · 2024 · IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)
32. On the Adoption of Distributed Intelligence Toward 6G Networks
    Konstantinos Vandikas, Hannes Larsson, Selim İckin, Hassam Riaz, Dagnachew Azene Temesgene, Hossein Shokri‐Ghadikolaei, Klaus Raizer, P. Öhlén, Dinand Roeland, Alexandros Palaios · 2025 · IEEE Access
33. DPCTS: Dual-Perspective Cross-Client Trust Scoring for Robust Backdoor Defense of Federated Learning Over 6G Networks
    Yaohua Luo, Lei Yuan, Jianchao Zheng, Ye Wang, Yuan Gao, Dajiang Chen · 2025 · IEEE Transactions on Network Science and Engineering
34. 2 × 2 MIMO mm-wave wireless signal transmission based on a novel ROF architecture via dual hollow-core fibers
    Kaile Li, Sicong Xu, Yifan Chen · 2026 · Optical Fiber Technology
35. Artificial intelligence driven channel coding and resource optimization for wireless networks: A systematic survey
    Yasir Ali, Tayyab Manzoor, Huan Yang, Chenhang Yan, Yuanqing Xia · 2026 · Computer Science Review
36. The Deep Learning Evolution in Wireless Physical Layer Communications: Applications, Challenges, and Evolutionary Directions
    H J Xu, Yin Liang, Rui Xie, Yang Kong · 2026 · Sensors
37. Joint Receiver Design and User Scheduling for Over-the-Air Aggregation in Federated Learning
    Fan Zhang, Junjie Wan, Kun-Lun Wang, Qing-Qing Wu · 2023 · 2023 5th International Conference on Communications, Information System and Computer Engineering (CISCE)
38. Heterogeneous Low Altitude Platforms Deployment Strategy for Emergency Network
    Mengjun Yin, Wei Lin, Shuai Wu · 2023 · IEEE International Symposium on Broadband Multimedia Systems and Broadcasting (BMSB)
39. Federated K-Means Clustering for Adaptive OFDM-IM
    Xueyu Wu, Andy M. Tyrrell, Youngwook Ko · 2023 · IEEE Communications Letters
40. AI-Driven Data Management on Distributed Computing for Digital Healthcare
    B. Şölen Akdemir · 2024 · IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops)
41. Wireless Channel Estimation using Federated Learning
    Jasneet Kaur, M. Arif Khan · 2024 · IEEE International Conference for Convergence in Technology (I2CT)
42. Federated Learning-Based Codebook Design for Massive MIMO Communication System
    Jing Jiang, Runqiu Han, Ben Liu, Dan Feng · 2022 · Lecture notes on data engineering and communications technologies
43. Experimental Results of Federated Learning in Unmanned Aerial Vehicle Swarm
    Yun Cheng Shen, Chao Dong, Yuben Qu · 2021
44. Federated Learning and its Applications for Security and Communication
    Hafiz M. Asif, Mohamed Abdul Karim, Firdous Kausar · 2022 · International Journal of Advanced Computer Science and Applications
45. Model elasticity for hardware heterogeneity in federated learning systems
    Allen-Jasmin Farcas, Xiaohan Chen, Zhangyang Wang, Radu Mărculescu · 2022
46. Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation
    Guangnian Wan, Haitao Du, Xuejing Yuan, Jun Yang, Meiling Chen, Jie Xu · 2023 · IEEE/CVF International Conference on Computer Vision (ICCV)
47. Communication Efficient Personalized Federated Learning via Hierarchical Clustering and Layer-wise Aggregation
    Mingchang Shuang, Zhe Zhang, Yanchao Zhao · 2023 · International Conference on Mobility, Sensing and Networking (MSN)
48. Towards dependable 6G networks
    Felipe Rodriguez, Ijaz Ahmad, Jyrki Huusko, Kari Seppänen · 2022
49. Key 6G Technologies
    Chamitha de Alwis, Quoc‐Viet Pham, Madhusanka Liyanage · 2022
50. Proposed Smart 5G Framework: Incorporating Federated Learning and Transfer Learning
    Peyman Khordadpour · 2023
51. Evolution of Mobile Networks
    Pawani Porambage, Madhusanka Liyanage · 2023
52. Influence of AI and MAS in Enhancing Energy Efficiency of 6G Communications
    Divya Negi, Febin Prakash, Anjali Gupta · 2024 · International Conference on Communication, Computer Sciences and Engineering (IC3SE)
53. A systematic review of the foundations, applications, and challenges of federated learning
    Hadi Fateh, Mohsen Rezvani, Esmaeel Tahanian · 2024 · Archives de l'Institut d'Hessarek.
54. Wireless 5G Network in Edge Computing Based On MIMO with Federated Learning and Clustering Integrated Reinforcement Learning
    Manikandan Parasuraman, Sivaram Rajeyyagari, Ramesh Sekaran, K. Suthendran, Vinayakumar Ravi · 2025 · EAI Endorsed Transactions on Internet of Things
55. Supply chain optimization and sustainability driven by artificial intelligence
    Yue Nan Jiang · 2025 · Journal of Applied Economics and Policy Studies
56. Towards Understanding Device Impact in Heterogeneous Federated Learning
    Rafael Teixeira, Mário Antunes, Diogo Gomes · 2025
57. Contribution-Aware Hierarchical Federated Learning: A Novel Framework for Heterogeneous Medical IoT Devices in 6G Networks
    Xue Kun, Lingling Zhang, Cong Wang · 2025 · IEEE Internet of Things Journal
58. Multi-Target Sensing with Interference Analysis for the Multi-UAV-Enabled ISAC Network
    Kai Cui, Jianwei Zhao, Weimin Jia · 2025 · Electronics
59. Enhancing Covertness Against Wireless Injection Attacks via Secret Key and Deep Learning in AIRS-T Networks
    Aadil Hussain Lone, Mahmoud Elemam, Ali Hussein Muqaibel, Daniel Benevides da Costa · 2025 · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
60. Bi-directional distillation enabling progressive lightweight model training in edge computing-based federated learning
    Yishan Chen, Wenshuo Dai, Zhen Qin, Junxiao Han · 2026 · Applied Soft Computing
61. Federated Split Learning via Low-Rank Approximation: A Communication-Efficient Approach
    Huiqing Ao, Hui Tian, Wanli Ni · 2026 · IEEE Transactions on Wireless Communications
62. OLG-FL: A Federated Learning Framework for Optimizing Local Training and Global Aggregation
    Haotong Qiu, Zhenyan Liu, Xiaolin Zhao, Jingfeng Xue, Weiyuan Hu, Mingze Li · 2025 · International Conference on Computer Science and Management Technology (ICCSMT)
63. Graph Learning-Based Multi-Dimensional Adaptive Scheduling for Multi-QoS Remote Sensing Services in Satellite Networks
    Zhe Niu, Hui Yang, Qiuyan Yao · 2026 · IEEE Transactions on Network Science and Engineering
64. Integration of Artificial Intelligence and IoT for Future Smart System Applications
    Karimov Abror, Dilmurod Turaev, Anorgul I. Ashirova, M. J. Smitha, Khayrulla Urozboev, Abdullayev Abdulla Fayzulla Ugli, Ataubayeva Akgumis Berisbayevna, N. Raghu · 2026 · Advances in computational intelligence and robotics book series
65. An efficient data collection framework in the sky: An affine transformation approach based on Internet of unmanned aerial vehicles
    Bing Sun, Mingxing Yu, Yi Wu, Yuanhang Qi, Xin Nie, Shan Xi · 2021 · IET Communications
66. Laser Marking Hatch Contour Generation Algorithm
    Wangbao Zhou, Zonglin Jiang, Ying Zhang, Zhao Zhang · 2021 · International Conference on Artificial Intelligence and Information Systems (ICAIIS)
67. Energy Optimization for NOMA assisted Federated Learning with Secrecy Provisioning
    Tianshun Wang, Xumin Huang, Yuxiao Song · 2021 · IEEE/CIC International Conference on Communications in China (ICCC)
68. Training, Testing and Validation Challenges for Next Generation AI/ML-Based Intelligent Wireless Networks
    Balaji Raghothaman · 2021 · IEEE Wireless Communications
69. Federated Learning for 6G Edge Intelligence: Concepts, Challenges and Solutions
    Han Wang, Jianhe Hu, Chunxiao Xing, Liang‐Jie Zhang · 2022 · Lecture notes in computer science
70. Air-Ground Integrated Federated Learning: An Experimental Implementation
    Yuqian Jing, Chao Dong, Yuben Qu · 2021
71. A Network Intelligence Deployment Plan Towards 6G
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72. Exploration of the principle of 6G communication technology and its development prospect
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73. Survey on 6G Communications
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74. Cloud-Edge-Network-Device Synergy, and Convergence of Communication, Sensing, and Computing
    Pengfei Sun · 2023 · Management for professionals
75. A Cell-Free Millimeter-Wave Channel Estimation Algorithm Based on Federated Learning
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76. Semi-FLChain: Toward Secure and Efficient Semi-Supervised Federated Learning for IoT Using Blockchain
    Yuanhang Qi, Guisong Liu · 2023 · IEEE International Conference on Power, Intelligent Computing and Systems (ICPICS)
77. A Distributed Framework for the Ocean IoT Network
    Jiahong Ning, Jiale Wang, Ping Feng, Tingting Yang · 2023 · IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
78. Federated Learning in Automated Vehicles
    Sonal Shamkuwar, Arijit Mondal, Rohan More · 2024 · Information systems engineering and management
79. Implementation of Alternating Direction Method of Multipliers for Solving Power Amplifier Linearization Problem: Theoretical Foundations and Proof of Concept
    Elías Marqués-Valderrama, Juan A. Becerra, María J. Madero‐Ayora · 2024 · IEEE Access
80. Leave No One Behind: Unleashing Stragglers’ Potential for Accurate and Realtime Asynchronous Federated Learning
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81. The Use of Cloud Platform Technology to Help University Music Teachers Teaching Decision-Making Research
    Zongchen Hou, Shafizan bin Sabri · 2024 · Journal of Education and Educational Research
82. Enhancing Federated Learning Generalization Through Momentum Alignment in 6G Networks
    Lei Jiang, Xiaoding Wang, Hui Lin · 2025 · IEEE Network
83. Eco-Intelligent 6G Deployment
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84. AI-based federated learning for 6G networks
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85. Multimedia privacy protection: an N-round cascaded cryptosystem based on merged multi-chaotic maps under various image attacks
    Tarek Srour, Ali M. El‐Rifaie, Mohsen A. M. El‐Bendary, Mostafa A. R. Eltokhy, Atef Abou Elazm, Bilel Neji · 2025 · Frontiers in Computer Science
86. Neuro-Driven Agent-Based Security for Quantum-Safe 6G Networks
    Mohammed M. Alwakeel · 2025 · Mathematics
87. Quality assessment for terrestrial digital video broadcast over optical wireless communication‐passive optical network under moderately turbulent regime with spatial diversity
    Harpuneet Singh Gill, Maninder Lal Singh, Maninder Lal Singh · 2022 · International Journal of Communication Systems
88. Edge Intelligence-Based UAV Human Target Recognition with Improved YOLOV5 Algorithm
    Zeyu Cai, Yuben Qu, Chao Dong · 2021
89. FED6G: Chameleon Learning for Network Slice Management in Beyond 5G Systems
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90. Blockchain Assisted Federated Learning over Wireless Channels: Dynamic Resource Allocation and Client Scheduling
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91. Nothing Wasted: Full Contribution Enforcement in Federated Edge Learning
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92. Proposed Smart 5G Framework: Incorporating Federated Learning and Transfer Learning
    Peyman Khordadpour · 2023
93. Proposing a Distributed and Dynamic Bio-inspired Recognition of Identity in Vehicular Networks
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94. Computer Network Information Security Protection Measures Based on AI Intelligent Technology
    Peng Liao · 2020 · International Conference on Information Technologies and Electrical Engineering (ICITEE)
95. Intelligent Auxiliary System for Sports Public Service Information Platform Based on Communication and Computing Methods
    Jinyuan Zhu, Jijun Chu · 2022 · Lecture notes in electrical engineering
96. Research Model of Optimal Catalytic Combination Based on Machine Learning
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97. AI-Based Wireless Communication
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98. Applications of artificial intelligence in 6G wireless communications
    Anfal A Alansari · 2021 · International Journal of Current Engineering and Technology
99. Afl-Dag: Asynchronous Federated Learning with Directed Acyclic Graph-Based Blockchain in Edge Computing
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100. Bibliography
     Chamitha de Alwis, Quoc-Viet Pham, Madhusanka Liyanage · 2022 · Wiley eBooks