federated-learning

Documents about federated-learning

• Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning#974259arXiv (All)
• The potential of federated learning for public health purposes: a qualitative analysis of GDPR compliance, Europe, 2021#351960OpenAlex
• An Innovative Secure and Privacy-Preserving Federated Learning-Based Hybrid Deep Learning Model for Intrusion Detection in Internet-Enabled Wireless Sensor Networks.#489724DBLP
• Federated MapReduce fractional deep learning for scalable and privacy-aware intrusion detection in cloud computing#990026Springer Nature OA
• Edge-IIoTset: A New Comprehensive Realistic Cyber Security Dataset of IoT and IIoT Applications for Centralized and Federated Learning#199415OpenAlex
• A trust-aware privacy-preserving federated learning framework for secure threat intelligence sharing using blockchain#462547Springer Nature OA
• PP-IDE Behavioural Device Fingerprinting Dataset for Privacy-Preserving Identity Establishment#173376Zenodo
• Impact of the COVID-19 pandemic on antipsychotic prescribing in individuals with autism, dementia, learning disability, serious mental illness or living in a care home: a federated analysis of 59 million patients’ primary care records in situ using OpenSAFELY#242870Ora Oxford University Research
• mHealth Systems Need a Privacy-by-Design Approach: Commentary on “Federated Machine Learning, Privacy-Enhancing Technologies, and Data Protection Laws in Medical Research: Scoping Review”#461731OpenAlex
• Blockchain-enabled federated learning framework with hybrid CNN-LSTM anomaly detection for secure edge IoT networks#145125Springer Nature OA
• An adaptive federated learning framework with tenant-aware non-IID partitioning and LLM-narrated explainability for multi-tenant cloud intrusion detection#385814Springer Nature OA
• Privacy-Preserving Federated Learning with Optimized Ensemble Weighting and Knowledge Distillation for COVID-19 Detection from Non-IID Medical Imaging Data#285352ODU Digital Commons
• Visualization Engineering Platform for TCM Pulse Diagnosis - Pulse Diagnosis Based on Federated Learning to Diagnose Slippery and Choppy and Other Pulses Waveform Image Features to Assist in the Study of TCM Pathological Logic Analysis#833604ClinicalTrials.gov