Personalized Federated Learning for Intelligent IoT Applications: A Cloud-Edge based Framework
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Abstract (arXiv)
Internet of Things (IoT) have widely penetrated in different aspects of modern life and many intelligent IoT services and applications are emerging. Recently, federated learning is proposed to train a globally shared model by exploiting a massive amount of user-generated data samples on IoT devices while preventing data leakage. However, the device, statistical and model heterogeneities inherent in the complex IoT environments pose great challenges to traditional federated learning, making it unsuitable to be directly deployed. In this article we advocate a personalized federated learning framework in a cloud-edge architecture for intelligent IoT applications. To cope with the heterogeneity issues in IoT environments, we investigate emerging personalized federated learning methods which are able to mitigate the negative effects caused by heterogeneity in different aspects. With the power of edge computing, the requirements for fast-processing capacity and low latency in intelligent IoT applications can also be achieved. We finally provide a case study of IoT based human activity recognition to demonstrate the effectiveness of personalized federated learning for intelligent IoT applications.
Key facts. Cited by 59 papers in the map (data through 7 Oct 2026). First posted on arXiv 25 Feb 2020.
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Citing papers per year: 2021: 18; 2022: 13; 2023: 12; 2024: 5; 2025: 8; 2026: 3.
59 papers.
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- 2021Towards Personalized Federated Learningcited by 462
- 2021Personalized Federated Learning using Hypernetworkscited by 210
- 2023Heterogeneous Federated Learning: State-of-the-art and Research Challengescited by 160
- 2021A distillation-based approach integrating continual learning and federated learning for pervasive servicescited by 42
- 2022CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learningcited by 34
- 2021Multimodal Federated Learning on IoT Datacited by 32
- 2021A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparisoncited by 31
- 2022Machine Learning for Microcontroller-Class Hardware: A Reviewcited by 28
- 2023A Survey on Decentralized Federated Learningcited by 27
- 2022TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernelscited by 26
- 2022IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentationcited by 21
- 2021Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challengescited by 17
38 more
- 2021SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learningcited by 15
- 2022Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoTcited by 15
- 2021Efficient Federated Meta-Learning over Multi-Access Wireless Networkscited by 13
- 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Surveycited by 13
- 2021Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challengescited by 12
- 2021Federated Few-Shot Learning with Adversarial Learningcited by 11
- 2021A Survey on Federated Learning and its Applications for Accelerating Industrial Internet of Thingscited by 11
- 2021Personalized Semi-Supervised Federated Learning for Human Activity Recognitioncited by 9
- 2022SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligencecited by 7
- 2023Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networkscited by 7
- 2021Turning Federated Learning Systems Into Covert Channelscited by 6
- 2022Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphonescited by 6
- 2024Worldwide Federated Training of Language Modelscited by 5
- 2025Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clientscited by 5
- 2021Sparse Personalized Federated Learningcited by 4
- 2023Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insightscited by 4
- 2024Prompt-based Personalized Federated Learning for Medical Visual Question Answeringcited by 4
- 2023Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergencecited by 3
- 2023Federated Learning for Metaverse: A Surveycited by 3
- 2023Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applicationscited by 3
- 2021Management of Resource at the Network Edge for Federated Learningcited by 2
- 2021Robust Convergence in Federated Learning through Label-wise Clusteringcited by 2
- 2023Federated Neuro-Symbolic Learningcited by 2
- 2023Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsificationcited by 2
- 2023FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognitioncited by 2
- 2021SCEI: A Smart-Contract Driven Edge Intelligence Framework for IoT Systemscited by 1
- 2022Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Thingscited by 1
- 2022Personalized Federated Learning with Hidden Information on Personalized Priorcited by 1
- 2023FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Predictioncited by 1
- 2023Federated Learning on Edge Sensing Devices: A Reviewcited by 1
- 2024Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Reviewcited by 1
- 2025MMiC: Mitigating Modality Incompleteness in Clustered Federated Learningcited by 1
- 2025Distributionally Robust Federated Learning with Client Drift Minimizationcited by 1
- 2025Optimized Local Updates in Federated Learning via Reinforcement Learningcited by 1
- 2025Operator-Theoretic Framework for Gradient-Free Federated Learningcited by 1
- 2021Canoe : A System for Collaborative Learning for Neural Netscited by 0
- 2022Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Reviewcited by 0
- 2022Improving Response Time of Home IoT Services in Federated Learningcited by 0
50 most cited of 59 All 59 (JSON)
- 2026FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks4 Aug 2026
- 2026Range Penalization: Theoretical Insights with Applications in Federated Learning9 Jun 2026
- 2026Federated Learning with Hypergradient-based Online Update of Aggregation Weights1 May 2026
- 2025Operator-Theoretic Framework for Gradient-Free Federated Learning30 Nov 2025
- 2025Optimized Local Updates in Federated Learning via Reinforcement Learning31 May 2025
- 2025Distributionally Robust Federated Learning with Client Drift Minimization21 May 2025
- 2025Traceable Black-box Watermarks for Federated Learning19 May 2025
- 2025MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning11 May 2025
- 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey3 May 2025
- 2025Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients12 Mar 2025
- 2025FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data11 Feb 2025
- 2024H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications9 Dec 2024
38 more
- 2024Worldwide Federated Training of Language Models23 May 2024
- 2024Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review22 May 2024
- 2024Micro-Fracture Detection in Photovoltaic Cells with Hardware-Constrained Devices and Computer Vision8 Mar 2024
- 2024Prompt-based Personalized Federated Learning for Medical Visual Question Answering15 Feb 2024
- 2023Federated Learning for 6G: Paradigms, Taxonomy, Recent Advances and Insights7 Dec 2023
- 2023FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition13 Nov 2023
- 2023Federated Learning on Edge Sensing Devices: A Review2 Nov 2023
- 2023Privacy-preserving Federated Primal-dual Learning for Non-convex and Non-smooth Problems with Model Sparsification30 Oct 2023
- 2023Federated Learning: A Cutting-Edge Survey of the Latest Advancements and Applications8 Oct 2023
- 2023FedWOA: A Federated Learning Model that uses the Whale Optimization Algorithm for Renewable Energy Prediction19 Sep 2023
- 2023Federated Neuro-Symbolic Learning29 Aug 2023
- 2023A Survey on Decentralized Federated Learning8 Aug 2023
- 2023Heterogeneous Federated Learning: State-of-the-art and Research Challenges20 Jul 2023
- 2023Federated Learning for Metaverse: A Survey23 Mar 2023
- 2023Automated Federated Learning in Mobile Edge Networks -- Fast Adaptation and Convergence23 Mar 2023
- 2023Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks19 Mar 2023
- 2022Deep Unfolding-based Weighted Averaging for Federated Learning in Heterogeneous Environments23 Dec 2022
- 2022Personalized Federated Learning with Hidden Information on Personalized Prior19 Nov 2022
- 2022Personalized Federated Learning for Multi-task Fault Diagnosis of Rotating Machinery17 Nov 2022
- 2022Federated Learning for Autoencoder-based Condition Monitoring in the Industrial Internet of Things14 Nov 2022
- 2022Evaluation and comparison of federated learning algorithms for Human Activity Recognition on smartphones30 Oct 2022
- 2022TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernels13 Jul 2022
- 2022Machine Learning for Microcontroller-Class Hardware: A Review29 May 2022
- 2022IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentation16 Apr 2022
- 2022CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learning8 Apr 2022
- 2022SemiPFL: Personalized Semi-Supervised Federated Learning Framework for Edge Intelligence15 Mar 2022
- 2022Improving Response Time of Home IoT Services in Federated Learning28 Feb 2022
- 2022Applications of Machine Learning in Healthcare and Internet of Things (IOT): A Comprehensive Review6 Feb 2022
- 2022Deep Reinforcement Learning Assisted Federated Learning Algorithm for Data Management of IIoT3 Feb 2022
- 2021Robust Convergence in Federated Learning through Label-wise Clustering28 Dec 2021
- 2021Edge-Native Intelligence for 6G Communications Driven by Federated Learning: A Survey of Trends and Challenges14 Nov 2021
- 2021A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparison19 Oct 2021
- 2021SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning24 Sep 2021
- 2021Multimodal Federated Learning on IoT Data10 Sep 2021
- 2021A distillation-based approach integrating continual learning and federated learning for pervasive services9 Sep 2021
- 2021Canoe : A System for Collaborative Learning for Neural Nets27 Aug 2021
- 2021Efficient Federated Meta-Learning over Multi-Access Wireless Networks14 Aug 2021
- 2021Sparse Personalized Federated Learning12 Jul 2021
50 newest of 59 All 59 (JSON)
- 2021Towards Personalized Federated Learningcited by 462
- 2021Personalized Federated Learning using Hypernetworkscited by 210
- 2023Heterogeneous Federated Learning: State-of-the-art and Research Challengescited by 160
- 2021A distillation-based approach integrating continual learning and federated learning for pervasive servicescited by 42
- 2022CD2-pFed: Cyclic Distillation-guided Channel Decoupling for Model Personalization in Federated Learningcited by 34
- 2021Multimodal Federated Learning on IoT Datacited by 32
- 2021A Federated Learning Aggregation Algorithm for Pervasive Computing: Evaluation and Comparisoncited by 31
- 2022Machine Learning for Microcontroller-Class Hardware: A Reviewcited by 28
- 2023A Survey on Decentralized Federated Learningcited by 27
- 2022TCT: Convexifying Federated Learning using Bootstrapped Neural Tangent Kernelscited by 26
- 2022IOP-FL: Inside-Outside Personalization for Federated Medical Image Segmentationcited by 21
- 2021Applications of Federated Learning in Smart Cities: Recent Advances, Taxonomy, and Open Challengescited by 17
12 most cited of 59 All 59 (JSON)
- 2026FBID: Adaptive Personalized Federated Learning for Robust Out-of-Distribution Attack Detection in IoT Networks4 Aug 2026
- 2026Range Penalization: Theoretical Insights with Applications in Federated Learning9 Jun 2026
- 2026Federated Learning with Hypergradient-based Online Update of Aggregation Weights1 May 2026
- 2025Operator-Theoretic Framework for Gradient-Free Federated Learning30 Nov 2025
- 2025Optimized Local Updates in Federated Learning via Reinforcement Learning31 May 2025
- 2025Distributionally Robust Federated Learning with Client Drift Minimization21 May 2025
- 2025Traceable Black-box Watermarks for Federated Learning19 May 2025
- 2025MMiC: Mitigating Modality Incompleteness in Clustered Federated Learning11 May 2025
- 2025Edge-Cloud Collaborative Computing on Distributed Intelligence and Model Optimization: A Survey3 May 2025
- 2025Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients12 Mar 2025
- 2025FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data11 Feb 2025
- 2024H-FedSN: Personalized Sparse Networks for Efficient and Accurate Hierarchical Federated Learning for IoT Applications9 Dec 2024
12 newest of 59 All 59 (JSON)