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Privacy Preserving

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Showing 751–800 of 2975 papers

TitleStatusHype
Intelligent Cross-Organizational Process Mining: A Survey and New Perspectives—0
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models—0
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator—0
LFFR: Logistic Function For (single-output) RegressionCode0
FedVAE: Trajectory privacy preserving based on Federated Variational AutoEncoder—0
Privacy-Preserving Data Deduplication for Enhancing Federated Learning of Language Models (Extended Version)Code0
FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse LabelsCode0
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey—0
Synthetic Data: Revisiting the Privacy-Utility Trade-off—0
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges—0
A Survey on LoRA of Large Language ModelsCode3
A Benchmark for Multi-speaker Anonymization—0
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
Federated Knowledge Transfer Fine-tuning Large Server Model with Resource-Constrained IoT Clients—0
Robust Skin Color Driven Privacy Preserving Face Recognition via Function Secret Sharing—0
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients—0
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape—0
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning—0
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
FedSat: A Statistical Aggregation Approach for Class Imbalanced Clients in Federated Learning—0
Prosody-Driven Privacy-Preserving Dementia DetectionCode0
Federated Fine-Tuning for Pre-Trained Foundation Models Over Wireless Networks—0
Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature—0
Correlated Privacy Mechanisms for Differentially Private Distributed Mean Estimation—0
Zero-X: A Blockchain-Enabled Open-Set Federated Learning Framework for Zero-Day Attack Detection in IoV—0
Federated Distillation for Medical Image Classification: Towards Trustworthy Computer-Aided Diagnosis—0
Attack-Aware Noise Calibration for Differential PrivacyCode1
Characterizing Stereotypical Bias from Privacy-preserving Pre-Training—0
Privacy-Preserving and Trustworthy Deep Learning for Medical Imaging—0
Comprehensive Generative Replay for Task-Incremental Segmentation with Concurrent Appearance and Semantic ForgettingCode0
A Quantization-based Technique for Privacy Preserving Distributed Learning—0
WavRx: a Disease-Agnostic, Generalizable, and Privacy-Preserving Speech Health Diagnostic ModelCode0
Privacy Preserving Reinforcement Learning for Population Processes—0
Robust Zero Trust Architecture: Joint Blockchain based Federated learning and Anomaly Detection based Framework—0
Automated Privacy-Preserving Techniques via Meta-LearningCode0
Privacy Preserving Machine Learning for Electronic Health Records using Federated Learning and Differential Privacy—0
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and VotingCode2
Privacy Implications of Explainable AI in Data-Driven Systems—0
Privacy Preserved Blood Glucose Level Cross-Prediction: An Asynchronous Decentralized Federated Learning ApproachCode0
Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning—0
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation—0
Privacy Preserving Federated Learning in Medical Imaging with Uncertainty EstimationCode0
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models—0
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions—0
Privacy-Preserving Heterogeneous Federated Learning for Sensitive Healthcare Data—0
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks—0
Speed-up of Data Analysis with Kernel Trick in Encrypted Domain—0
FLea: Addressing Data Scarcity and Label Skew in Federated Learning via Privacy-preserving Feature AugmentationCode0
Applying Multi-Agent Negotiation to Solve the Production Routing Problem With Privacy Preserving—0
A Synthetic Dataset for Personal Attribute InferenceCode2
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