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• Federated Learning-Based Data Dissemination Systems for IoVs
  Federated learning-based data dissemination solutions for Internet of Vehicles (IoVs) are gaining interest owing to their capacity to increase data dissemination performance and privacy. This chapter examines the current state of the art in federated learning-…
  crossref Gaurav Singh Negi, Gopal Krishna, Jitendra Kumar Gupta 2025-04-25T10:34:14Z 置信度 0.70
• Federated Learning for Anomaly Detection in Edge-Cloud Communication Systems
  crossref Nina Großegesse, Vinicius José De Menezes Pereira, Christian Maier, Felix Strohmeier 2026-01-20T20:38:34Z 置信度 0.70
• Federated Learning Applications in Retail, Finance, and Banking for Smart Cities
  crossref Madhuri Gupta, Prince Gupta, Sameer Malik 2025-10-03T21:19:49Z 置信度 0.70
• Decentralized Federated Learning: Balancing Privacy and Performance
  crossref Garba M. 2025-10-02T12:24:15Z 置信度 0.70
• Federated learning in healthcare 6.0 paradigm, technologies and challenges
  crossref Anniappan Vasuki, Vijayakumar Ponnusamy, Emilija Kisic, Nemanja Zdravković 2025-03-20T10:28:47Z 置信度 0.70
• Federated Learning for Privacy-Preserving AI
  Federated Learning (FL) is an emerging machine learning paradigm that enables decentralized training of models while ensuring data pri-vacy.Unlike traditional machine learning approaches that require data centralization, FL allows multiple clients to collabora…
  openalex RN Shashi Vardhan 2025-03-01 置信度 0.72 Computer scienceInternet privacyFederated learningComputer securityArtificial intelligence
• Federated Learning-Based Vehicle Number Plate Recogntion in IoVs
  Artificial intelligence is widely used in a variety of industries. AI technology drives much of what we do. In a similar vein, as AI-based technologies advance, smart automobiles and the Smart Transport system will likewise experience revolutionary transformat…
  crossref Disha Mohini Pathak, Somya Srivastava, Shelly Gupta 2025-04-25T10:34:14Z 置信度 0.70
• Partial Gradient Rescaling: A Simple Defense Against Gradient Inversion in Federated Learning
  crossref Mark Andrawes, Albert Frisch Møller, Tommy Sonne Alstrøm, Hiba Nassar 2026-01-20T20:38:34Z 置信度 0.70
• Federated Learning with Prototype Learning for Rul Prediction of Engine Turbine Blade
  crossref Junqiang Liu 2025-03-20T04:40:58Z 置信度 0.70
• Towards a Blockchain-Based Federated Learning Framework for Sustainable Supply Chain
  crossref Fiza Siyal, Fahed Alkhabbas, Sadi Alawadi, Antonella Guzzo 等 2026-01-20T20:38:34Z 置信度 0.70
• Federated Learning for Food Safety and Compliance
  crossref Ramit Sehgal, Nitendra Kumar 2025-12-15T10:17:52Z 置信度 0.70
• Energy Efficiency Factors in Federated Learning: IID and Non-IID Considerations
  crossref Nishitha Ramesh, Ali Nazeri, Christiane Plociennik, Tatjana Legler 等 2026-01-20T20:38:34Z 置信度 0.70
• Do You Need Federated Learning?
  Federated Learning has been assumed to be a solution to several problems across various domains. Subsequently, research and engineering efforts focused on how to improve and further such solutions. However, discussions rarely centered around the question in wh…
  crossref Chao Feng, Jan von der Assen 2025-11-27T15:47:34Z 置信度 0.70
• Introductory Chapter: Federated Learning – Bridging the Gap between Privacy and Collaboration in Machine Learning
  crossref Sultan Ahmad, Meshal Alharbi, Sudan Jha, Aleem Ali 2025-04-02T13:31:30Z 置信度 0.70
• Bayesian Federated Inference with Systematically Missing Features
  crossref Emanuele Massa, Marianne Jonker 2026-01-20T20:38:34Z 置信度 0.70
• Benchmarking Catastrophic Forgetting Mitigation Methods in Federated Time Series Forecasting
  crossref Khaled Hallak, Oudom Kem 2026-01-20T20:38:34Z 置信度 0.70
• Federated Learning in Practice: Addressing Efficiency, Heterogeneity, and Privacy
  Federated Learning (FL) is a distributed machine learning paradigm that enables collaborative model training across decentralized devices while preserving data privacy. It addresses critical challenges in privacy, scalability, and data ownership, making it a p…
  crossref Sameera Gallus 2025-01-14T12:53:56Z 置信度 0.70
• Do You Need Federated Learning?
  Federated Learning has been assumed to be a solution to several problems across various domains. Subsequently, research and engineering efforts focused on how to improve and further such solutions. However, discussions rarely centered around the question in wh…
  crossref Chao Feng, Jan von der Assen 2025-12-19T20:50:42Z 置信度 0.70
• Federated Learning for Privacy-Preserving Financial Fraud Detection
  crossref Mayowa Emmanuel 2025-09-04T12:01:22Z 置信度 0.70
• Leveraging Blockchain and Federated Learning for Smart Cities
  crossref Umesh Gupta, Gopal Singh Rawat, Jay Vardhan Singh, Akshat Jain 2025-10-03T21:19:49Z 置信度 0.70
• FedKoE: Enhancing Federated Multimodal Learning through Knowledge of Experts
  crossref Duy Khuong, An D Nguyen, Duy Nguyen, Kok-Seng Wong 2025-07-15T07:07:04Z 置信度 0.70
• Revolutionizing Agriculture Yields through Federated Learning
  crossref Ramit Sehgal, Nitendra Kumar, Yash Dwivedi 2025-12-15T10:17:52Z 置信度 0.70
• The Missing Subject in Health Federated Learning: Preventive and Personalized Care
  crossref José Miguel Diniz 2025-04-26T02:21:20Z 置信度 0.70
• Federated Learning for Enhancing Cybersecurity Resilience in Distributed Energy Systems
  Abstract This research investigates federated learning (FL) as a novel approach to strengthen cybersecurity resilience in distributed energy systems (DES), including substations, distributed energy resources (DERs), and grid control networks. Traditional centr…
  crossref Vishram Mishra 2025-11-03T00:10:44Z 置信度 0.70
• MRI-based and metabolomics-based age scores act synergetically for mortality prediction shown by multi-cohort federated learning
  preprints 2024 置信度 0.74
• A Survey on Fault Detection in Industrial IoT: A Machine Learning Approach with Emphasis on Federated Learning and Intrusion Detection Systems
  Abstract In recent years, the Internet of Things (IoT) has received a lot of attention and research. The concept of Industrial IoT (IIoT) has emerged from the con- vergence of information technology (IT) and industrial automation and control systems. The incre…
  preprints Klea Elmazi, Donald Elmazi, Jonatan Lerga 2024 置信度 0.74
• Advancing oncology with federated learning: transcending boundaries in breast, lung, and prostate cancer. A systematic review
  preprints 2024 置信度 0.74
• Federated Learning for Secure and Efficient Vehicular Communications in Open RAN
  Abstract This paper presents a comprehensive exploration of federated learning applied to vehicular communications within the context of Open RAN. Through an in-depth review of existing literature and analysis of fundamental concepts, critical challenges are i…
  preprints Muhammad Asad, Saima Shaukat, Jin Nakazato, Ehsan Javanmardi 等 2024 置信度 0.74
• From Data to Diagnosis: A Deep Dive into Deep Learning for COVID-19 Detection
  preprints 2024 置信度 0.74
• FedGAC: Optimizing Generalization in Personalized Federated Learning via Adaptive Initialization and Strategic Client Selection
  preprints 2024 置信度 0.74
• Decentralized, privacy-preserving surgical video analysis with Swarm Learning
  preprints 2025 置信度 0.74
• FedOps Mobile: A Platform of Federated Learning Management for Enhanced Mobile Collaboration
  preprints 2024 置信度 0.74
• Dataset distillation-based optimization for heterogeneous federated learning
  preprints 2024 置信度 0.74
• Development and validation of random-forest based federated learning algorithms for delirium prediction using electronic medical records from eleven hospitals in Austria: a retrospective study
  preprints 2024 置信度 0.74
• Advancements in Hand Recognition Systems: Challenges and Future Directions
  europepmc 2024 置信度 0.80
• Advancing Healthcare Iot Security: Federated Learning and the Fedavg Approach
  Abstract Anomaly detection emerges as a crucial challenge in cybersecurity, particularly within the healthcare sector where the integration of open data is expanding rapidly. The recent surge in Internet of Things (IoT) device usage in healthcare has transform…
  preprints Md Abu Talha Reyaz, Vanitha V 2024 置信度 0.74
• Advancing Electric Load Forecasting: Leveraging Federated Learning for Distributed, Non-Stationary, and Discontinuous Time Series
  preprints 2024 置信度 0.74
• LCSA-Fed: A low cost semi-asynchronous federated learning based on lag tolerance for services QoS prediction
  preprints 2024 置信度 0.74
• AI-Driven Fare Evasion Detection in Public Transportation: A Multi-Technology Approach Integrating Behavioural AI, IoT, and Privacy-Preserving Systems
  preprints 2024 置信度 0.74
• Ride-Hailing Pick-Up Area Recommendation in a Vehicle-Cloud Collaborative Environment: A Feature-Aware Personalized Clustering Federated Learning Approach
  preprints 2024 置信度 0.74
• FedGPD: Global Prototype Distillation InHeterogeneous Federated Learning
  preprints 2024 置信度 0.74
• Efficient Federated Learning for distributed NeuroImaging Data
  preprints 2024 置信度 0.74
• PFDP: Privacy-preserving Federated Distillation Method for Pretraining Language Models
  preprints 2024 置信度 0.74
• Blockchain-based Federated Learning Approaches in Internet of Things applications
  preprints 2024 置信度 0.74
• A Review on the Frontier of Molecular Biology Integrating AI and Bioinformatics in Genetic Research
  preprints 2024 置信度 0.74
• FEDSTR: Money-In AI-Out | A Decentralized Marketplace for Federated Learning and LLM Training on the NOSTR Protocol
  preprints 2024 置信度 0.74
• In-Silo Federated Learning vs. Centralized Learning for Segmenting Acute and Chronic Ischemic Brain Lesions
  preprints 2024 置信度 0.74
• A cautionary tale on the cost-effectiveness of collaborative AI in real-world medical applications
  preprints 2024 置信度 0.74
• FedIoTect: Federated Machine Learning for Collaborative Internet of Things Threat Detection
  Abstract This paper explores a novel privacy-preserving approach using federated learning techniques to develop an intrusion detection system for Internet of Things (IoT) networks. The aim is to enable collaborative learning across decentralized IoT devices to…
  preprints Gitanjali Gitanjali, Er. Rajani Misra 2024 置信度 0.74
• A Differentially Private Federated Learning Application in Privacy-Preserving Medical Imaging
  Abstract This research addresses the escalating concerns surrounding privacy, particularly in the context of safeguarding sensitive medical data within the increasingly demanding healthcare landscape. We undertake an experimental exploration of differentially …
  preprints Mohamad HAJ FARES, Ahmet SERTBAŞ 2024 置信度 0.74
• Convergence Rate Analysis of Non-I.I.D. SplitFed Learning with Partial Worker Participation and Auxiliary Networks
  preprints 2024 置信度 0.74
• A rapid review of school collaboration studies: learnings for primary school-based physical activity interventions
  preprints 2026 置信度 0.74
• Cost-efficient hierarchical federated edge learning for satellite-terrestrial Internet of Things
  Abstract With the widespread deployment of dense Low Earth Orbit (LEO) constellations, satellites can serve as an alternative solution to the lack of proximal multi-access edge computing (MEC) servers for mobile Internet of Things (IoT) devices in remote areas…
  preprints Zhenjiang Zhang, Xintong Pei, Yaochen Zhang 2024 置信度 0.74
• Approximate Unlearning in Finance
  preprints 2024 置信度 0.74
• Federated Learning for Predicting Compound Mechanism of Action Based on Image-data from Cell Painting
  preprints 2024 置信度 0.74
• dGAMLSS: An exact, distributed algorithm to fit Generalized Additive Models for Location, Scale, and Shape for privacy-preserving population reference charts
  preprints 2024 置信度 0.74
• An Adaptive Quantization Model Compression Method for Heterogeneous Federated Learning
  Abstract In this paper, we introduce a novel adaptive In-Parallel Pruning-Quantization method, speciffcally designed for heterogeneous federated learning environments. Federated learning, as a distributed machine learning approach, allows multiple devices to c…
  preprints xiaohai li, yiqiang chen, yiwei zhang, xiaodong yang 2024 置信度 0.74
• Reputation System based on Distributed Ledge to Secure DecentralizedFederated Learning
  preprints 2024 置信度 0.74
• Graph Unlearning: Mechanism and Future Direction for Machine Unlearning with Complex Relationships
  preprints 2024 置信度 0.74
• A Multi-Scale Channel Attention Network with Federated Learning for Magnetic Resonance Image Super-Resolution
  Abstract Magnetic resonance (MR) images are widely used for clinical diagnosis, whereas its resolution is always limited by some surrounding factors, and under-sampled data is usually generated during imaging. Since high-resolution (HR) MR images contribute to…
  preprints Feiqiang Liu, Aiwen Jiang, Lihui Chen 2024 置信度 0.74
• Personalized Federated Learning with Adaptive Feature Extraction and Category Prediction in non-IID Datasets
  preprints 2024 置信度 0.74
• A Snapshot of Tiny AI: Innovations in Model Compression and Deployment
  preprints 2024 置信度 0.74
• Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
  preprints 2024 置信度 0.74
• Saltus - “A Sudden Transition” Empowered by Federated Learning for Efficient Big Data Handling in Multimedia Sensor Networks
  preprints 2024 置信度 0.74
• Introducing Edge Intelligence to Smart Meters via Federated Split Learning
  Abstract The ubiquitous smart meters are expected to be a central feature of future smart grids by enabling the collection of massive fine-grained consumption data to support demand-side flexibility. However, the current smart meters are still not smart enough…
  preprints Yi Wang, Yehui Li, Dalin Qin, H. Vincent Poor 2024 置信度 0.74
• Incentivizing Inclusive Data Contributions in Personalized Federated Learning
  Abstract While data plays a crucial role in training contemporary AI models, it is acknowledged that valuable public data will be exhausted in a few years, directing the world's attention towards the massive decentralized private data. However, the privacy-sen…
  preprints Siheng Chen, Enpei Zhang, Jingyi Chai, Rui Ye 等 2024 置信度 0.74
• FEDRETAIL: A Framework for Distributed Retail Data Analysis and Learning Toward E-commerce 5.0
  preprints 2024 置信度 0.74
• Compact artificial neurons with time-to-first-spike coding for fast and energy-efficient federated neuromorphic computing
  preprints 2024 置信度 0.74
• Role of Artificial Intelligence in Autonomous Vehicles
  preprints 2024 置信度 0.74
• Intelligent QLFEKF integrated navigation based on the X-ray pulsar / solar and target planetary Doppler for the SSBE cruise phase
  preprints 2024 置信度 0.74
• AI-Driven Data Processing and Decision Optimization in IoT through Edge Computing and Cloud Architecture
  preprints 2024 置信度 0.74
• Federated Edge Computing Strategy for Fault Tolerance in Distributed Deep Neural Networks
  preprints 2024 置信度 0.74
• UniFed: A unified deep learning framework for segmentation of partially labelled, distributed neuroimaging data
  preprints 2024 置信度 0.74
• Cross-institutional HER2 assessment via a computer-aided system using federated learning and stain composition augmentation
  preprints 2024 置信度 0.74
• Efficient Encryption using Quondam Signature Algorithm and Modified Lean Six Sigma for Sustainability with Supply Chain Management
  preprints 2024 置信度 0.74
• Testing federated analytics across secure data environments using differing statistical approaches on cross-disciplinary data
  preprints 2024 置信度 0.74
• Empowering Smart Grid Security: Towards Federated Learning in 6G-Enabled Smart Grids using Cloud
  Abstract As the realm of smart grids continues to evolve, embracing new technologies, researchers are exploring the potential ofupcoming 6G technology to address the challenges in management of smart grids. With the adoption of 6G technology,wireless energy me…
  preprints Jithish J, Nagarajan Mahalingam, Yeo Kiat Seng 2024 置信度 0.74
• Hypernetwork-Driven Centralized Contrastive Learning for Federated Graph Classification
  Abstract In the realm of Graph Federated Learning (GFL), current methodologies predominantly concentrate on local client data, a focus that often results in a constrained understanding of more expansive, global patterns. This approach typically struggles with …
  preprints Jianian Zhu, Yichen Li, Haozhao Wang, Yining Qi 等 2024 置信度 0.74
• IoT Workload Offloading Efficient Intelligent Transport System in Federated ACNN Integrated Cooperated Edge-Cloud Networks
  preprints 2024 置信度 0.74
• Comprehensive Framework for Implementing Blockchain-enabled Federated Learning and Full Homomorphic Encryption for Chatbot security System
  Abstract Chatbot is an artificial intelligence application that can provide a conversational environment between human and machine. Most organizations and industries are willing to lay out their services through chatbot because it can provide 24/7 customer sup…
  europepmc Nasir Ahmad Jalali, HongSong Chen 2024 置信度 0.80
• An Optimized FL-XAI model for secured and trustworthy candidate selection
  preprints 2024 置信度 0.74
• Blockchain Consensus Algorithm for Supply Chain Information Security Sharing Based on Convolutional Neural Networks
  preprints 2024 置信度 0.74
• Cumulus: A federated EHR-based learning system powered by FHIR and AI
  preprints 2024 置信度 0.74
• My-This-Your-That - Interpretable Identification of Systematic Bias in Federated Learning for Biomedical Images
  preprints 2024 置信度 0.74
• A Systematic Literature Review: AI, DL and Machine Learning inCyber Risk Management
  preprints 2024 置信度 0.74
• IoT networks attack detection using CFD learning framework
  preprints 2024 置信度 0.74
• Visual Data and Pattern Analysis for Smart Education: A Robust Drl-Based Early Warning System for Student Performance Prediction
  preprints 2024 置信度 0.74
• Privacy-Preserving Byzantine-Resilient Swarm Learning for E-healthcare
  preprints 2024 置信度 0.74
• Multi-antenna Arrays Based Massive-MIMO for B5G/6G: State-of-the-Art, Challenges and Future Research Directions
  preprints 2024 置信度 0.74
• A Distributed Security Approach Based on Artificial Immune Systems for Intrusion Detection in Internet of Things
  preprints 2024 置信度 0.74
• Development and validation of a federated learning framework for detection of subphenotypes of multisystem inflammatory syndrome in children
  preprints 2024 置信度 0.74
• PMNBARL: Enhancing Efficiency of Privacy Management in Digital Networks through Blockchain and Adaptive Reinforcement Learning
  preprints 2024 置信度 0.74
• Target Informed Client Recruitment for Efficient Federated Learning in Healthcare
  Abstract Background: Modern machine learning and deep learning methods have been widely incorporated in decision making processes in healthcare in the form of decision support mechanisms. In healthcare, data are abundant but typically not centrally available a…
  preprints Vincent Scheltjens, Lyse Naomi Wamba Momo, Wouter Verbeke, Bart De Moor 2024 置信度 0.74
• Toward Robust Neuroanatomical Normative Models: Influence of Sample Size and Covariates Distributions
  preprints 2025 置信度 0.74
• Velocious: A Resilient IoT Architecture for 6G based Intelligent Transportation System with Expeditious Movement Mechanism
  preprints 2024 置信度 0.74
• Appendix300: A multi-institutional laparoscopic appendectomy video dataset for computational modeling tasks
  preprints 2025 置信度 0.74
• A One-Shot Lossless Algorithm for Cross-Cohort Learning in Mixed-Outcomes Analysis
  preprints 2024 置信度 0.74
• FAIR and Square: Privacy Compliance Framework for Healthcare Databases
  europepmc 2025 置信度 0.80
• Fractal: Towards FAIR bioimage analysis at scale with OME-Zarr-native workflows
  The rapid growth in microscopy data volume, dimensionality, and diversity urgently calls for scalable and reproducible analysis frameworks. While efforts on the open OME-Zarr format have helped standardize the storage of large microscopy datasets, solutions fo…
  preprints 2026 置信度 0.74
• Mitigating Antimicrobial Resistance by Innovative Solutions in AI (MARISA): a modified James Lind Alliance Analysis
  Abstract Antimicrobial resistance (AMR) is a critical global health threat, and artificial intelligence (AI) presents new opportunities to combat it. However, research priorities at the AI-AMR intersection remain undefined. This study aimed to identify and pri…
  preprints 2025 置信度 0.74