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Privacy Preserving

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Showing 1951–2000 of 2975 papers

TitleStatusHype
WrapperFL: A Model Agnostic Plug-in for Industrial Federated Learning—0
sqSGD: Locally Private and Communication Efficient Federated Learning—0
SoteriaFL: A Unified Framework for Private Federated Learning with Communication CompressionCode0
FedER: Federated Learning through Experience Replay and Privacy-Preserving Data SynthesisCode0
Secure Embedding Aggregation for Federated Representation Learning—0
Minimum Noticeable Difference based Adversarial Privacy Preserving Image Generation—0
Introducing the Huber mechanism for differentially private low-rank matrix completion—0
Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic—0
Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving FrequencyCode0
Communication-Efficient Robust Federated Learning with Noisy Labels—0
Federated Offline Reinforcement Learning—0
Federated Learning with GAN-based Data Synthesis for Non-IID Clients—0
Fast Deep Autoencoder for Federated learning—0
Reconstruct Face from Features Using GAN Generator as a Distribution Constraint—0
PrivHAR: Recognizing Human Actions From Privacy-preserving Lens—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial LearningCode0
Data Stealing Attack on Medical Images: Is it Safe to Export Networks from Data Lakes?—0
A Privacy-Preserving Subgraph-Level Federated Graph Neural Network via Differential Privacy—0
Generalized Federated Learning via Sharpness Aware MinimizationCode0
Distributed Machine Learning in D2D-Enabled Heterogeneous Networks: Architectures, Performance, and Open Challenges—0
Learning rich optical embeddings for privacy-preserving lensless image classification—0
PriPA: A Tool for Privacy-Preserving Analytics of Linguistic Data—0
At the Intersection of NLP and Sustainable Development: Exploring the Impact of Demographic-Aware Text Representations in Modeling Value on a Corpus of InterviewsCode0
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption—0
Privacy for Free: How does Dataset Condensation Help Privacy?—0
Dataset Distillation using Neural Feature RegressionCode0
Defense Against Gradient Leakage Attacks via Learning to Obscure Data—0
An optimal transport approach for selecting a representative subsample with application in efficient kernel density estimation—0
FLICU: A Federated Learning Workflow for Intensive Care Unit Mortality PredictionCode0
Detecting Unknown DGAs without Context Information—0
MC-GEN:Multi-level Clustering for Private Synthetic Data GenerationCode0
Large-Scale Privacy-Preserving Network Embedding against Private Link Inference Attacks—0
Efficient Federated Learning with Spike Neural Networks for Traffic Sign Recognition—0
Evolution as a Service: A Privacy-Preserving Genetic Algorithm for Combinatorial Optimization—0
Cali3F: Calibrated Fast Fair Federated Recommendation System—0
To image, or not to image: Class-specific diffractive cameras with all-optical erasure of undesired objects—0
Differentially Private Decoding in Large Language Models—0
Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption—0
High-Precision Bootstrapping for Approximate Homomorphic Encryption by Error Variance Minimization—0
Additive Logistic Mechanism for Privacy-Preserving Self-Supervised Learning—0
Comprehensive Privacy Analysis on Federated Recommender System against Attribute Inference Attacks—0
Privacy-Preserving Image Classification Using Vision Transformer—0
DPSNN: A Differentially Private Spiking Neural Network with Temporal Enhanced Pooling—0
A Wireless-Vision Dataset for Privacy Preserving Human Activity Recognition—0
LIA: Privacy-Preserving Data Quality Evaluation in Federated Learning Using a Lazy Influence Approximation—0
PrivFairFL: Privacy-Preserving Group Fairness in Federated Learning—0
FaceMAE: Privacy-Preserving Face Recognition via Masked Autoencoders—0
Privacy-Preserving Data-Enabled Predictive Leading Cruise Control in Mixed Traffic—0
Robust Quantity-Aware Aggregation for Federated Learning—0
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