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Privacy Preserving

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Showing 401–450 of 2975 papers

TitleStatusHype
VerifBFL: Leveraging zk-SNARKs for A Verifiable Blockchained Federated Learning—0
Reach Measurement, Optimization and Frequency Capping In Targeted Online Advertising Under k-Anonymity—0
Decentralised Resource Sharing in TinyML: Wireless Bilayer Gossip Parallel SGD for Collaborative Learning—0
Privacy-Preserving Distributed Online Mirror Descent for Nonconvex Optimization—0
Federated Fine-Tuning of LLMs: Framework Comparison and Research Directions—0
FedKD-hybrid: Federated Hybrid Knowledge Distillation for Lithography Hotspot DetectionCode0
Optimizing Value of Learning in Task-Oriented Federated Meta-Learning Systems—0
The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks—0
From Models to Network Topologies: A Topology Inference Attack in Decentralized Federated Learning—0
Efficient Deployment of Large Language Models on Resource-constrained Devices—0
Towards the Anonymization of the Language Modeling—0
Fortifying Federated Learning Towards Trustworthiness via Auditable Data Valuation and Verifiable Client Contribution—0
Unlearning through Knowledge Overwriting: Reversible Federated Unlearning via Selective Sparse Adapter—0
Gaussian Splatting Feature Fields for (Privacy-Preserving) Visual Localization—0
Distinguish Then Exploit: Source-free Open Set Domain Adaptation via Weight Barcode Estimation and Sparse Label Assignment—0
pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation—0
Privacy-Preserving Distributed Defense Framework for DC Microgrids Against Exponentially Unbounded False Data Injection Attacks—0
Privacy-Aware Multi-Device Cooperative Edge Inference with Distributed Resource Bidding—0
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy—0
Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection—0
Generalizing in Net-Zero Microgrids: A Study with Federated PPO and TRPOCode0
Blockchain-Empowered Cyber-Secure Federated Learning for Trustworthy Edge Computing—0
Towards nation-wide analytical healthcare infrastructures: A privacy-preserving augmented knee rehabilitation case studyCode0
Reconciling Privacy and Explainability in High-Stakes: A Systematic InquiryCode0
A Multiparty Homomorphic Encryption Approach to Confidential Federated Kaplan Meier Survival Analysis—0
Optimal Federated Learning for Functional Mean Estimation under Heterogeneous Privacy Constraints—0
Better Knowledge Enhancement for Privacy-Preserving Cross-Project Defect Prediction—0
Asynchronous Federated Learning: A Scalable Approach for Decentralized Machine LearningCode0
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic PredictionCode2
Dataset for Real-World Human Action Detection Using FMCW mmWave Radar—0
FFA Sora, video generation as fundus fluorescein angiography simulator—0
Modular Conversational Agents for Surveys and Interviews—0
CBNN: 3-Party Secure Framework for Customized Binary Neural Networks Inference—0
Label Privacy in Split Learning for Large Models with Parameter-Efficient TrainingCode0
Privacy in Fine-tuning Large Language Models: Attacks, Defenses, and Future Directions—0
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks—0
Benchmarking LLMs and SLMs for patient reported outcomes—0
Differentially Private Federated Learning of Diffusion Models for Synthetic Tabular Data Generation—0
WebLLM: A High-Performance In-Browser LLM Inference EngineCode11
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHFCode2
Nemesis: Noise-randomized Encryption with Modular Efficiency and Secure Integration in Machine Learning Systems—0
FedSTaS: Client Stratification and Client Level Sampling for Efficient Federated Learning—0
Trustworthy Transfer Learning: A Survey—0
Towards privacy-preserving cooperative control via encrypted distributed optimization—0
Clio: Privacy-Preserving Insights into Real-World AI Use—0
Federated Learning and RAG Integration: A Scalable Approach for Medical Large Language Models—0
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service—0
Efficiently Achieving Secure Model Training and Secure Aggregation to Ensure Bidirectional Privacy-Preservation in Federated Learning—0
How Private are Language Models in Abstractive Summarization?—0
A3E: Aligned and Augmented Adversarial Ensemble for Accurate, Robust and Privacy-Preserving EEG Decoding—0
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