Clustered Federated Learning With Adaptive Local Differential Privacy on Heterogeneous IoT Data

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Deep Leakage from Gradients

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Towards Personalized Federated Learning

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Agnostic Federated LearningPreprint

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A Comprehensive Survey of Privacy-preserving Federated Learning: A Taxonomy, Review, and Future Directions

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Self-Balancing Federated Learning With Global Imbalanced Data in Mobile Systems

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Minimax Optimal Procedures for Locally Private Estimation

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LDP-Fed: federated learning with local differential privacy

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Collecting and Analyzing Multidimensional Data with Local Differential Privacy

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Survey of Personalization Techniques for Federated Learning

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Enabling Cognitive Smart Cities Using Big Data and Machine Learning: Approaches and Challenges

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Broadening the Scope of Differential Privacy Using Metrics

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Security and Privacy in Metaverse: A Comprehensive Survey

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LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

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A Differential-Private Framework for Urban Traffic Flows Estimation via Taxi Companies

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Realizing the Heterogeneity: A Self-Organized Federated Learning Framework for IoT

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FedSel: Federated SGD Under Local Differential Privacy with Top-k Dimension Selection

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An Ensemble Learning Based Intrusion Detection Model for Industrial IoT Security

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Privacy-Preserving Federated Depression Detection From Multisource Mobile Health Data

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Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy

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Differentially Private Releasing via Deep Generative ModelPreprint

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Federated Generative Model on Multi-Source Heterogeneous Data in IoT

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Federated Multi-view Learning for Private Medical Data Integration and Analysis

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Compressed Federated Learning Based on Adaptive Local Differential Privacy

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Compression Boosts Differentially Private Federated Learning

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SignDS-FL: Local Differentially Private Federated Learning with Sign-based Dimension Selection

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Group Privacy for Personalized Federated Learning

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Inference Attacks and Controls on Genotypes and Phenotypes for Individual Genomic Data

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A Differential Privacy Protection Protocol Based on Location Entropy

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ASCFL: Accurate and Speedy Semi-Supervised Clustering Federated Learning

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Personalization in Federated Learning

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Federated Learning in Smart Healthcare: A Comprehensive Review on Privacy, Security, and Predictive Analytics with IoT Integration

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Privacy-Preserving Federated Learning for Intrusion Detection in IoT Environments: A Survey

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Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics

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IOFL: Intelligent-Optimization-Based Federated Learning for Non-IID Data

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Digital Twin-Assisted Federated Learning Service Provisioning Over Mobile Edge Networks

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Clustered federated learning with heterogeneous differential privacy on Non-IID data

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An Adaptive Differential Private Federated Learning in Secure IoT

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Performance-Enhanced Federated Learning With Differential Privacy for Internet of Things

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Aldp-fl: an adaptive local differential privacy-based federated learning mechanism for IoT

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AWE-DPFL: Adaptive weighting and dynamic privacy budget federated learning for heterogeneous data in IoT

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