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Privacy Preserving

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Showing 751–775 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
LFFR: Logistic Function For (single-output) RegressionCode0
Overcoming Catastrophic Forgetting in Federated Class-Incremental Learning via Federated Global Twin Generator—0
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
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment—0
A Benchmark for Multi-speaker Anonymization—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
Fair Federated Data Clustering through Personalization: Bridging the Gap between Diverse Data DistributionsCode0
A Unified Learn-to-Distort-Data Framework for Privacy-Utility Trade-off in Trustworthy Federated Learning—0
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
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