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Privacy Preserving

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Showing 626–650 of 2975 papers

TitleStatusHype
Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization—0
Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks—0
Privacy-Preserving Edge Speech Understanding with Tiny Foundation Models—0
A Survey on Cluster-based Federated Learning—0
Secure Federated Graph-Filtering for Recommender Systems—0
Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLMCode0
FedAlign: Federated Domain Generalization with Cross-Client Feature Alignment—0
Decentralized Low-Rank Fine-Tuning of Large Language Models—0
AI-Driven Secure Data Sharing: A Trustworthy and Privacy-Preserving Approach—0
SoK: What Makes Private Learning Unfair?—0
Optimal Strategies for Federated Learning Maintaining Client Privacy—0
Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models—0
AirTOWN: A Privacy-Preserving Mobile App for Real-time Pollution-Aware POI Suggestion—0
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling—0
Practical quantum federated learning and its experimental demonstration—0
A Selective Homomorphic Encryption Approach for Faster Privacy-Preserving Federated Learning—0
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy—0
MyDigiTwin: A Privacy-Preserving Framework for Personalized Cardiovascular Risk Prediction and Scenario ExplorationCode0
Federated Discrete Denoising Diffusion Model for Molecular Generation with OpenFL—0
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications—0
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?—0
Trustformer: A Trusted Federated Transformer—0
Federated Testing (FedTest): A New Scheme to Enhance Convergence and Mitigate Adversarial Attacks in Federating Learning—0
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice—0
Multi-Task Over-the-Air Federated Learning in Cell-Free Massive MIMO Systems—0
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