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Privacy Preserving

Papers

Showing 351400 of 2975 papers

TitleStatusHype
GCFL: A Gradient Correction-based Federated Learning Framework for Privacy-preserving CPSS0
Gradient Inversion Attacks on Parameter-Efficient Fine-TuningCode0
FlowerTune: A Cross-Domain Benchmark for Federated Fine-Tuning of Large Language Models0
Sociodynamics-inspired Adaptive Coalition and Client Selection in Federated Learning0
Computation- and Communication-Efficient Online FL for Resource-Constrained Aerial Vehicles0
Recursive Privacy-Preserving Estimation Over Markov Fading Channels0
Towards Generalizable Drowsiness Monitoring with Physiological Sensors: A Preliminary Study0
Privacy-Preserving Federated Convex Optimization: Balancing Partial-Participation and Efficiency via Noise Cancellation0
SMOTE-DP: Improving Privacy-Utility Tradeoff with Synthetic Data0
Mitigating Disparate Impact of Differentially Private Learning through Bounded Adaptive Clipping0
Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models0
Blockchain Powered Edge Intelligence for U-Healthcare in Privacy Critical and Time Sensitive Environment0
Blockchain-Enabled Privacy-Preserving Second-Order Federated Edge Learning in Personalized Healthcare0
Towards Graph-Based Privacy-Preserving Federated Learning: ModelNet -- A ResNet-based Model Classification Dataset0
Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection0
Towards Unified Modeling in Federated Multi-Task Learning via Subspace Decoupling0
Federated Foundation Model for GI Endoscopy Images0
Loss-Guided Model Sharing and Local Learning Correction in Decentralized Federated Learning for Crop Disease Classification0
Position: Federated Foundation Language Model Post-Training Should Focus on Open-Source Models0
Buffer-free Class-Incremental Learning with Out-of-Distribution Detection0
Keyed Chaotic Dynamics for Privacy-Preserving Neural Inference0
An Empirical Study of Federated Prompt Learning for Vision Language Model0
Towards Privacy-Preserving Fine-Grained Visual Classification via Hierarchical Learning from Label Proportions0
Comparative analysis of privacy-preserving open-source LLMs regarding extraction of diagnostic information from clinical CMR imaging reports0
CADRE: Customizable Assurance of Data Readiness in Privacy-Preserving Federated Learning0
DP-RTFL: Differentially Private Resilient Temporal Federated Learning for Trustworthy AI in Regulated IndustriesCode0
PrivATE: Differentially Private Confidence Intervals for Average Treatment Effects0
Fog Intelligence for Network Anomaly Detection0
MedOrchestra: A Hybrid Cloud-Local LLM Approach for Clinical Data Interpretation0
Privacy-Preserving Chest X-ray Report Generation via Multimodal Federated Learning with ViT and GPT-20
Privacy-Preserving Peer-to-Peer Energy Trading via Hybrid Secure Computations0
Model Agnostic Differentially Private Causal Inference0
Ontology- and LLM-based Data Harmonization for Federated Learning in Healthcare0
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things0
Synergising Hierarchical Data Centers and Power Networks: A Privacy-Preserving Approach0
FedSKC: Federated Learning with Non-IID Data via Structural Knowledge CollaborationCode0
Evaluating Query Efficiency and Accuracy of Transfer Learning-based Model Extraction Attack in Federated Learning0
Cellular Traffic Prediction via Byzantine-robust Asynchronous Federated LearningCode0
A Novel Zero-Trust Identity Framework for Agentic AI: Decentralized Authentication and Fine-Grained Access Control0
Federated Learning: From Theory to Practice0
Federated Retrieval-Augmented Generation: A Systematic Mapping Study0
Synthesizing and Adapting Error Correction Data for Mobile Large Language Model Applications0
Large language model as user daily behavior data generator: balancing population diversity and individual personality0
An Attack to Break Permutation-Based Private Third-Party Inference Schemes for LLMs0
Secure and Private Federated Learning: Achieving Adversarial Resilience through Robust Aggregation0
Joint Relational Database Generation via Graph-Conditional Diffusion Models0
AIDRIN 2.0: A Framework to Assess Data Readiness for AI0
LAGO: Few-shot Crosslingual Embedding Inversion Attacks via Language Similarity-Aware Graph Optimization0
Pura: An Efficient Privacy-Preserving Solution for Face Recognition0
Privacy-Preserving Conformal Prediction Under Local Differential PrivacyCode0
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