Browse studies, page 361
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- Federated learning with differential privacy for breast cancer diagnosis enabling secure data sharing and model integrity Scientific Reports, 2025
- Privacy-preserving federated learning for collaborative medical data mining in multi-institutional settings Scientific Reports, 2025
- Federated Learning With Differential Privacy: Algorithms and Performance Analysis IEEE Transactions on Information Forensics and Security, 2019
- Federated Learning: Challenges, Methods, and Future Directions IEEE Signal Processing Magazine, 2019
- Advances and Open Problems in Federated Learning Found. Trends Mach. Learn., 2019
- Research on the Security Technology of Federated Learning Privacy Preserving Journal of Physics, Conference Series, 2021
- Enhancing Federated Learning Privacy Through Encrypted Computation Procedia Computer Science, 2026
- Decentralized federated learning privacy protection aggregation 6th International Conference on Advanced Electronic Materials, Computers and Software Engineering (AEMCSE 2023), 2023
- Federated Learning: Privacy-Preserving Data Science International journal of recent engineering science, 2024
- Federated learning privacy incentives: Reverse auctions and negotiations CAAI Transactions on Intelligence Technology, 2023
- A Blockchain Framework for Federated Learning: Privacy, Security, and Scalability 2025 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI), 2025
- Enhancing Federated Learning Privacy with QUBO arXiv.org, 2025
- Federated Learning Privacy Protection via Training Randomness ICCK Transactions on Sensing, Communication, and Control, 2025
- The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape ACM Computing Surveys, 2024
- Trustworthy federated learning: privacy, security, and beyond Knowledge and Information Systems, 2024
- FL-SEHGT: Federated Learning-Based Heterogeneous Graph Transformer with Squeeze-and-Excitation for ASD Identification Neural networks : the official journal of the International Neural Network Society, 2026
- MontageFL: Privacy-Preserving Federated Learning across Heterogeneous EEG Montages A Leakage-Free Benchmark on Alzheimer’s Disease Classification 2026
- Federated learning for multi-institutional AI in healthcare via digital pathology Biomedizinische Technik. Biomedical engineering, 2026
- Federated Deep Learning-Based Zero-Trust Architecture for Intelligent Intrusion Detection in Multi-Cloud Systems 2026
- Fedflow: cloud orchestration for federated learning with the FeatureCloud platform Bioinformatics advances, 2026
- Uncertainty-aware federated temporal learning with explainable LLM-based coaching for privacy-preserving wearable health systems Frontiers in artificial intelligence, 2026
- Artificial Intelligence-Based Intrusion Detection Systems for Smart Home Security 2026
- E-FLAPS: An Edge–Federated Learning Framework with Anomaly-Aware Training for Robust Stock Price Prediction 2026
- Federated learning for privacy-preserving ophthalmic artificial intelligence: clinical applications and translational challenges Frontiers in medicine, 2026
- An Explainable Federated Intrusion Detection Framework for SDN Using Distributed Key Generation and Threshold Homomorphic Encryption Sensors (Basel, Switzerland), 2026
- A Comprehensive Survey of Federated Model Evolution in Open Environments 2026
- Federated Prototype Learning for Cardiovascular Diseases Recognition Under Non-Independent and Non-Identically Distributed Heart Sounds IEEE transactions on neural networks and learning systems, 2026
- Privacy-Enhanced Federated Learning Model for Secure Internet of Things Environments 2026
- In-depth Analysis of Privacy Threats in Federated Learning for Medical Data IEEE journal of biomedical and health informatics, 2026
- Multicenter Privacy-Preserving Federated Models for Predicting Postoperative Delirium and Acute Kidney Injury in Older Patients MedComm, 2026
- Mobility-Aware Federated NOMA User Pairing with DBSCAN Clustering for Energy-Efficient IoT-Enabled VANETs 2026
- A Privacy-Aware and Communication-Efficient Federated Spam Detection Framework for Multi-Cloud Environments 2026
- Privacy-preserving and robust mouse dynamics authentication using hybrid transformer-CNN and federated learning Frontiers in artificial intelligence, 2026
- Federated spatio-temporal graph neural network for privacy-preserving vehicle trajectory prediction in autonomous driving Frontiers in artificial intelligence, 2026
- Federated Scientific Machine Learning Framework for Multi-Scale Inverse Parameter Identification: Application to Nonlocal Strain Gradient Plasticity 2026
- Federated learning for heterogeneous edge environments_ A multi-domain evaluation on object detection and energy forecasting 2026
- VahanSWARM: A Blockchain-Driven Swarm Learning Framework for Secure Intelligent Vehicle Supply Chain Networks 2026
- FLVaccin: Unbalanced Hierarchical Federated Learning with Vaccination-Calibrated Adaptive Quarantine for Robust Poisoning Defense 2026
- Federated Learning for Intrusion Detection in Internet of Medical Things (IoMT): A PRISMA-Based Systematic Literature Review 2026
- FL-SDMN: A Federated Learning-Based Software-Defined Mobile Networking for Intelligent Handover Optimization 2026
- A robust privacy-preserving federated framework for kidney CT image classification using transfer learning models Frontiers in artificial intelligence, 2026
- Privacy-Preserving Federated Distillation Resilient to Client Disconnections and Poisoning Attacks 2026
- FedDAAW: Dynamic Client Selection and Accuracy- Adaptive Aggregation for Cross-Task Federated Learning under Heterogeneity 2026
- Adaptive federated learning with differential privacy for multi-class respiratory disease recognition from lung sound recordings Frontiers in digital health, 2026
- FedMARL-LTI: Federated Multi-Agent Reinforcement Learning with LLM-Driven Threat Intelligence for Cooperative Cyber Defense 2026
- FDCTGAN: Client-local CTGAN-augmented federated learning for imbalanced breast cancer classification Technology and health care : official journal of the European Society for Engineering and Medicine, 2026
- Privacy-Preserving Federated Learning for Artistic Image Classification in Visual IoT Sensor Networks Sensors (Basel, Switzerland), 2026
- Federated Autonomous Cyber Agents for Privacy-Preserving Intrusion Detection in Distributed Smart Grids 2026
- Privilege-Preserving Federated Learning for Collaborative Legal AI: An Architecture for Cryptographic Gradient Protection Under Attorney-Client Privilege Constraints 2026
- Client-Specific Normalization with Selective Proximal Regularization for Heterogeneous Federated Medical Image Classification 2026
- Privacy-Preserving and Poisoning-Robust Federated Learning for Industrial IoT Sensors (Basel, Switzerland), 2026
- Privacy-Preserving Online Federated Learning for Massive Infinite Streams IEEE transactions on pattern analysis and machine intelligence, 2026
- A Federated Multi-Agent Communication Framework for Autonomous Cyber Defense in Edge-Cloud IoT Environments Sensors (Basel, Switzerland), 2026
- Federated Learning, Temporal Convolutional Networks, Electric Vehicle Charging Infrastructure, Intrusion Detection, Cybersecurity, Privacy-Preserving Machine Learning 2026
- Adaptive feature fusion based semi-supervised federated learning system for ECG arrhythmia detection Frontiers in artificial intelligence, 2026
- Federated analytics for non-communicable disease surveillance in the European health data space: a scoping review and conceptual framework Frontiers in public health, 2026
- A Privacy-Preserving Federated Intrusion Detection Framework with Reputation-Aware Client Selection and Integrity Verification 2026
- Federated Model Optimization for Real-Time Big Data Analytics in Smart Drug Delivery Edge Devices 2026
- FedHyperM: Modality-Sensitive Federated Hypergraph Learning for Heterogeneous Multimodal Edge Intelligence 2026
- Securing IoMT with Federated Learning: A Hybrid Deep Learning and Ensemble-Based Intrusion Detection Framework 2026
- Federated Deep Learning and TinyML Co-Design for Securing Resource-Constrained IoT and SCADA Networks: A PRISMA-Compliant Systematic Review, Taxonomy and Statistical Meta-Analysis 2026
- Budget-Prioritized Dynamic Regrouping for Edge Federated Services Under Workload Drift and Privacy-Budget Constraints Entropy (Basel, Switzerland), 2026
- Privacy-aware learning analytics for exploratory behavior through federated and explainable AI Frontiers in artificial intelligence, 2026
- Physics-Informed Federated Learning for Decentralized Pharmaceutical Crystallization: Achieving Personalized Predictive Accuracy with Minimal Data 2026
- Federated predictive load balancing for adaptive resource management in fog computing Scientific reports, 2026
- Federated Hybrid Deep Learning Framework for IoT Intrusion Detection Using N-BaIoT, CICIoT2023, and BoT-IoT Datasets 2026
- Multi-View Clustering Goes Federated: A Survey 2026
- Regime-Aware Federated Aggregation (RAFA) for privacy-preserving energy load forecasting across heterogeneous European grid clients 2026
- Secure Federated Learning Framework with Dynamic Lightweight Cipher (Fed- DLC) for Resource-Constrained Networks and Data-Sensitive Applications 2026
- Privacy-Preserving Continual Learning for Detecting Concept Drift in Distributed Artificial Intelligence Systems 2026
- Distributed IoT Security with Blockchain, Privacy-Preserving Techniques, and Predictive Maintenance Models 2026
- Federated Anomaly Detection for IoT-Enabled EV Charging Cybersecurity Under Aggressive and Stealth Cyberattacks Sensors (Basel, Switzerland), 2026
- Towards federated learning for face recognition: a comprehensive review of secure and privacy-preserving techniques and prospective research Pattern analysis and applications : PAA, 2026
- Decentralised Federated Learning Framework for Privacy-Preserving Medical Insurance and Sustainable Rural Economic Development in Tamil Nadu 2026
- Fed-XLM-R: a privacy-preserving federated framework with adapter-scoped differential privacy for mental health triage-level intent classification on resource-constrained edge devices Frontiers in digital health, 2026
- Closed-Loop Fairness and Privacy Optimization for Federated Text Classification under Non-IID Data 2026
- Federated Learning security with FedEDAuth: Embedding-Distribution Authentication for Counterfeit IC Detection 2026
- Data Auditing and Quality Assurance in a Federated Learning Consortium; Getting the Best of Both Worlds from Cross-Institutional and In-House Data Quality Inspection 2026
- Privacy-Aware and Resource-Efficient Split Learning for IoT Botnet Detection: A Multi-Dataset Experimental and Systems Evaluation 2026
- Clinical Equivalence of Privacy-Preserving Federated Learning: A Consortium Blockchain Framework with Equivalence Testing 2026
- Interpretable-Aware Privacy Preserving Framework for Deepfake Detection using Federated ResNet and Explainable AI Techniques 2026
- An Adaptive Resource-Aware MK-CKKS Framework with Linear- Complexity Multi-Key Aggregation for Privacy-Preserving Federated Learning in Resource-Constrained IoT Environments 2026
- A federated learning and recalibration pipeline for clinical prediction across heterogeneous regions: 30-day mortality after acute myocardial infarction 2026
- Privacy-Utility Tradeoffs in Hierarchical Federated Learning Under Combined Differential Privacy and CKKS Homomorphic Encryption for Distributed Healthcare Networks 2026
- Personalized Federated Intrusion Detection for Non-IID IIoT Traffic via DDPG-Guided Adaptive Aggregation 2026
- A Multi-Lingual Cyberbullying Detection and Blockchain-Integrated Privacy-Preserving Federated Learning Framework 2026
- Use of Federated Learning for validating and updating privacy-preserving decentralized multi-study prognostic models in Traumatic Brain Injury medRxiv : the preprint server for health sciences, 2026
- Federated and Differentially Private Prediction of Immune Checkpoint Blockade Response from Multi-Cohort Transcriptomics 2026
- CONCORDAT: Trustworthy multimodal federated learning for autism research under incomplete, heterogeneous and privacy-constrained health data 2026
- Privacy-Preserving Federated Learning for Artistic Image Analytics in Visual IoT Sensor Networks 2026
- Federated PPO: Federated Proximal Policy Optimization for Multi-Robot Collision Avoidance 2026
- Artificial Intelligence in Vehicular Networks: A Comprehensive Review of Security Challenges and Defenses 2026
- Federated Learning and Generative AI for Resilient Supply Chain Network Optimization: A Data-Driven Approach 2026
- MAFL-PdM: A Multi-Agent Federated Learning Framework for Personalised Predictive Maintenance Across Heterogeneous Industrial IoT Sites 2026
- An Adaptive Decentralised Federated Learning Framework for Load Forecasting in Dynamic Microgrid Environments 2026
- EPDA: An Efficient and Privacy-preserving Dual Aggregation Scheme for Federated Learning in VANETs 2026
- A Federated Graph-Based Intrusion Detection Framework for Unknown Attack Detection in Internet of Medical Things(IoMT) 2026
- A sustainable platform for federated health data access, AI innovation, and regulatory acceptance in alignment with the European Health Data Space principles 2026
- Federated Learning Aggregation (FLAg) Strategies in Healthcare: A Systematic Survey and Taxonomy Based on Technical and Data Challenges 2026
- Privacy-Preserving Federated Land-Cover Segmentation Under Non-IID Data: Region-Aware Contrastive Regularization and DP-SGD 2026
