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Federated Learning Model with Adaptive Differential Privacy Protection in Medical IoT
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11681878_14openalex-snapshot
Calibrating Noise to Sensitivity in Private Data Analysis
inferredcites →https://doi.org/10.1016/j.jbi.2021.103735openalex-snapshot
FeARH: Federated machine learning with anonymous random hybridization on electronic medical records
inferredcites →https://doi.org/10.1109/icde.2019.00063openalex-snapshot
Collecting and Analyzing Multidimensional Data with Local Differential Privacy
inferredcites →https://doi.org/10.1109/icde48307.2020.00050openalex-snapshot
Providing Input-Discriminative Protection for Local Differential Privacy
inferredcites →https://doi.org/10.1109/infocomwkshps50562.2020.9162735openalex-snapshot
Blockchain Technology and Neural Networks for the Internet of Medical Things
inferredcites →https://doi.org/10.1109/jiot.2020.2984887openalex-snapshot
Edge Intelligence: The Confluence of Edge Computing and Artificial Intelligence
inferredcites →https://doi.org/10.1109/lnet.2019.2947144openalex-snapshot
Motivating Workers in Federated Learning: A Stackelberg Game Perspective
inferredcites →https://doi.org/10.1109/mcom.001.1900103openalex-snapshot
Toward an Intelligent Edge: Wireless Communication Meets Machine Learning
inferredcites →https://doi.org/10.1109/msp.2013.2259911openalex-snapshot
Signal Processing and Machine Learning with Differential Privacy: Algorithms and Challenges for Continuous Data
inferredcites →https://doi.org/10.1109/sp.2019.00065openalex-snapshot
Comprehensive Privacy Analysis of Deep Learning: Passive and Active White-box Inference Attacks against Centralized and Federated Learning
inferredcites →https://doi.org/10.1109/tac.2019.2959924openalex-snapshot
Formulas for Data-Driven Control: Stabilization, Optimality, and Robustness
inferredcites →https://doi.org/10.1109/taslp.2020.3039600openalex-snapshot
Gated Recurrent Fusion With Joint Training Framework for Robust End-to-End Speech Recognition
inferredcites →https://doi.org/10.1109/tbdata.2021.3050680openalex-snapshot
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis
inferredcites →https://doi.org/10.1109/tifs.2020.2988575openalex-snapshot
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
inferredcites →https://doi.org/10.1109/tip.2021.3073319openalex-snapshot
GSDet: Object Detection in Aerial Images Based on Scale Reasoning
inferredcites →https://doi.org/10.1109/tmc.2019.2928811openalex-snapshot
Deep Reinforcement Learning for Online Computation Offloading in Wireless Powered Mobile-Edge Computing Networks
inferredcites →https://doi.org/10.1109/tmi.2020.3035789openalex-snapshot
Combined Spiral Transformation and Model-Driven Multi-Modal Deep Learning Scheme for Automatic Prediction of TP53 Mutation in Pancreatic Cancer
inferredcites →https://doi.org/10.1109/tmi.2021.3052523openalex-snapshot
Strain Energy Decay Predicts Elastic Registration Accuracy From Intraoperative Data Constraints
inferredcites →https://doi.org/10.1109/tpds.2019.2899097openalex-snapshot
Local Differential Private Data Aggregation for Discrete Distribution Estimation
inferredcites →https://doi.org/10.1109/tvt.2021.3064877openalex-snapshot
Decentralized Parallel SGD With Privacy Preservation in Vehicular Networks
inferredcites →https://doi.org/10.1145/2810103.2813677openalex-snapshot
Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
inferredcites →https://doi.org/10.1145/2976749.2978318openalex-snapshot
Deep Learning with Differential Privacy
inferredcites →https://doi.org/10.1371/journal.pone.0130140openalex-snapshot
On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation
inferredcites →https://doi.org/10.1561/0400000042openalex-snapshot
The Algorithmic Foundations of Differential Privacy
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10489-025-06627-7openalex-snapshot
A review of federated learning technology and its research progress in healthcare applications
inferred← citeshttps://doi.org/10.1007/s10586-026-06616-6openalex-snapshot
FedDeepRiskNet++: a privacy-enhanced federated learning framework for secure and scalable medical IoT systems
inferred← citeshttps://doi.org/10.1007/s10845-026-02805-7openalex-snapshot
A privacy-enhancing federated learning framework for cross-manufacturer LPBF powder bed defect identification
inferred← citeshttps://doi.org/10.1007/s11227-024-06243-1openalex-snapshot
Preserving differential privacy in neural networks for foreign object detection with heterogeneity-based noising among distributed devices
inferred← citeshttps://doi.org/10.1007/s41870-025-02458-4openalex-snapshot
Privacy-enhanced secure framework for educational data protection and analysis
inferred← citeshttps://doi.org/10.1016/j.aei.2025.103214openalex-snapshot
Federated learning based on dynamic hierarchical game incentives in Industrial Internet of Things
inferred← citeshttps://doi.org/10.1016/j.csa.2025.100098openalex-snapshot
Leveraging federated learning for DoS attack detection in IoT networks based on ensemble feature selection and deep learning models
inferred← citeshttps://doi.org/10.1016/j.future.2024.03.019openalex-snapshot
Reliable federated learning based on dual-reputation reverse auction mechanism in Internet of Things
inferred← citeshttps://doi.org/10.1016/j.ins.2023.119784openalex-snapshot
rFedFW: Secure and trustable aggregation scheme for Byzantine-robust federated learning in Internet of Things
inferred← citeshttps://doi.org/10.1016/j.ins.2024.120217openalex-snapshot
Federated distillation and blockchain empowered secure knowledge sharing for Internet of medical Things
inferred← citeshttps://doi.org/10.1038/s41598-025-27691-6openalex-snapshot
Hybrid GNN–LSTM defense with differential privacy and secure multi-party computation for edge-optimized neuromorphic autonomous systems
inferred← citeshttps://doi.org/10.1089/pop.2024.0222openalex-snapshot
Bridging the Digital Divide: A Practical Roadmap for Deploying Medical Artificial Intelligence Technologies in Low-Resource Settings
inferred← citeshttps://doi.org/10.1109/ce2ct64011.2025.10939630openalex-snapshot
Design and Implementation of a Data Encryption Framework Simulink Model for Protecting Sensitive Organizational Data
inferred← citeshttps://doi.org/10.1109/dsit61374.2024.10880906openalex-snapshot
Balancing Privacy and Accuracy: Federated Learning with Differential Privacy for Medical Image Data
inferred← citeshttps://doi.org/10.1109/incoft55651.2022.10094522openalex-snapshot
Federated Learning Method for Local Differential Privacy in IoT Networks
inferred← citeshttps://doi.org/10.1109/ithings-greencom-cpscom-smartdata-cybermatics60724.2023.00079openalex-snapshot
Decentralized Reputation-based Leader Election for Privacy-preserving Federated Learning on Internet of Things
inferred← citeshttps://doi.org/10.1145/3639466openalex-snapshot
Federated Learning-based Information Leakage Risk Detection for Secure Medical Internet of Things
inferred← citeshttps://doi.org/10.1155/2022/7427968openalex-snapshot
Design of Intelligent Nursing System Based on Artificial Intelligence
inferred← citeshttps://doi.org/10.2196/41588openalex-snapshot
Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review
inferred← citeshttps://doi.org/10.3389/fdgth.2026.1807342openalex-snapshot
A simulation study of differentially private federated learning with zero-trust policy screening for medical IoT devices
inferred← citeshttps://doi.org/10.3389/fmed.2024.1409314openalex-snapshot
Efficient differential privacy enabled federated learning model for detecting COVID-19 disease using chest X-ray images
inferred← citeshttps://doi.org/10.3390/app16010029openalex-snapshot
Risk-Aware Privacy-Preserving Federated Learning for Remote Patient Monitoring: A Multi-Layer Adaptive Security Framework
inferred← citeshttps://doi.org/10.3390/fi15090310openalex-snapshot
Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm
inferred← citeshttps://doi.org/10.4018/979-8-3373-2827-0.ch006openalex-snapshot
Federated Learning for Secure and Privacy-Preserving Medical Diagnostics
inferred← citeshttps://doi.org/10.59400/adecp2940openalex-snapshot
Recent advances in differential equations, control processes, and secure cryptographic networks for medical data exchange
inferred← citeshttps://doi.org/10.60097/acig/225267openalex-snapshot
Information Governance as a Dynamic Capability for Data-Driven AI Innovation: A Systematic Literature Review
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