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Privacy Preserving

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Showing 1826–1850 of 2975 papers

TitleStatusHype
Federated Learning with Privacy-Preserving Ensemble Attention Distillation—0
CrowdGuard: Federated Backdoor Detection in Federated LearningCode0
Privacy-Preserving and Lossless Distributed Estimation of High-Dimensional Generalized Additive Mixed ModelsCode0
Mitigating Unintended Memorization in Language Models via Alternating Teaching—0
Differentially Private Bootstrap: New Privacy Analysis and Inference StrategiesCode0
Momentum Aggregation for Private Non-convex ERM—0
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition—0
mPSAuth: Privacy-Preserving and Scalable Authentication for Mobile Web Applications—0
Synthetic Dataset Generation for Privacy-Preserving Machine Learning—0
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption—0
Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search—0
Smart-Badge: A wearable badge with multi-modal sensors for kitchen activity recognition—0
Privacy-Preserving Feature Coding for Machines—0
Distributed Non-Convex Optimization with One-Bit Compressors on Heterogeneous Data: Efficient and Resilient Algorithms—0
Privacy-preserving Decentralized Federated Learning over Time-varying Communication Graph—0
BETOLD: A Task-Oriented Dialog Dataset for Breakdown Detection—0
Kernel Normalized Convolutional Networks for Privacy-Preserving Machine Learning—0
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction—0
On the Impossible Safety of Large AI Models—0
Federated Stain Normalization for Computational PathologyCode0
Joint Optimization of Energy Consumption and Completion Time in Federated Learning—0
No Free Lunch in "Privacy for Free: How does Dataset Condensation Help Privacy"—0
PrivMVMF: Privacy-Preserving Multi-View Matrix Factorization for Recommender Systems—0
A Secure Federated Learning Framework for Residential Short Term Load Forecasting—0
Momentum Gradient Descent Federated Learning with Local Differential Privacy—0
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