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Privacy Preserving

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Showing 1401–1450 of 2975 papers

TitleStatusHype
Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication—0
Channel and Gradient-Importance Aware Device Scheduling for Over-the-Air Federated Learning—0
Secure Vertical Federated Learning Under Unreliable Connectivity—0
You Don't Have to Be Perfect to Be Amazing: Unveil the Utility of Synthetic Images—0
MERGE: Fast Private Text GenerationCode0
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks—0
Cooperative Control of Multi-Channel Linear Systems with Self-Organizing Private Agents—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
Evaluating Privacy Leakage in Split Learning—0
Enhancing Small Medical Learners with Privacy-preserving Contextual PromptingCode0
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models—0
Efficient Vertical Federated Learning with Secure Aggregation—0
Free Lunch for Privacy Preserving Distributed Graph Learning—0
Private Gradient Estimation is Useful for Generative Modeling—0
Smart Policy Control for Securing Federated Learning Management System—0
Privacy-Preserving Ensemble Infused Enhanced Deep Neural Network Framework for Edge Cloud Convergence—0
Trustworthy Privacy-preserving Hierarchical Ensemble and Federated Learning in Healthcare 4.0 with Blockchain—0
Adaptive Federated Pruning in Hierarchical Wireless Networks—0
FedAds: A Benchmark for Privacy-Preserving CVR Estimation with Vertical Federated Learning—0
Manipulating Visually-aware Federated Recommender Systems and Its Countermeasures—0
Privacy-Preserving Taxi-Demand Prediction Using Federated Learning—0
A Federated Learning-based Industrial Health Prognostics for Heterogeneous Edge Devices using Matched Feature Extraction—0
GPFedRec: Graph-guided Personalization for Federated RecommendationCode1
Privacy-Preserving Adaptive Traffic Signal Control in a Connected Vehicle Environment—0
PPGenCDR: A Stable and Robust Framework for Privacy-Preserving Cross-Domain Recommendation—0
Divide-and-Conquer the NAS puzzle in Resource Constrained Federated Learning Systems—0
PerFedRec++: Enhancing Personalized Federated Recommendation with Self-Supervised Pre-Training—0
A Platform for the Biomedical Application of Large Language ModelsCode1
Privacy-Preserving Prompt Tuning for Large Language Model Services—0
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models—0
Collaborative Chinese Text Recognition with Personalized Federated Learning—0
Turning Privacy-preserving Mechanisms against Federated Learning—0
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation—0
FedNoRo: Towards Noise-Robust Federated Learning by Addressing Class Imbalance and Label Noise HeterogeneityCode1
A Feasibility Study on Indoor Localization and Multi-person Tracking Using Sparsely Distributed Camera Network with Edge ComputingCode0
Privacy-Preserving Representations are not Enough -- Recovering Scene Content from Camera PosesCode0
Privacy-preserving Adversarial Facial Features—0
Towards Achieving Near-optimal Utility for Privacy-Preserving Federated Learning via Data Generation and Parameter Distortion—0
Exploring One-shot Semi-supervised Federated Learning with A Pre-trained Diffusion Model—0
Bounding the Invertibility of Privacy-preserving Instance Encoding using Fisher Information—0
An Overview of AI and Blockchain Integration for Privacy-Preserving—0
Gradient Leakage Defense with Key-Lock Module for Federated LearningCode0
Adversarially-Guided Portrait MattingCode1
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing—0
Privacy-Preserving In-Context Learning for Large Language Models—0
A Paradigm Shift: The Future of Machine Translation Lies with Large Language Models—0
Training Large Scale Polynomial CNNs for E2E Inference over Homomorphic Encryption—0
Bayesian Federated Learning: A Survey—0
FedVS: Straggler-Resilient and Privacy-Preserving Vertical Federated Learning for Split Models—0
(Local) Differential Privacy has NO Disparate Impact on FairnessCode0
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