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Privacy Preserving

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Showing 1101–1150 of 2975 papers

TitleStatusHype
Federated Learning for Ranking Browser History Suggestions—0
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis—0
CRS-FL: Conditional Random Sampling for Communication-Efficient and Privacy-Preserving Federated Learning—0
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health—0
A Survey on Blockchain-Based Federated Learning and Data Privacy—0
Federated Learning for Physical Layer Design—0
Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment—0
Crowdsourcing on Sensitive Data with Privacy-Preserving Text Rewriting—0
Federated Learning: From Theory to Practice—0
CryptoDL: Deep Neural Networks over Encrypted Data—0
Algorithmic Data Minimization for Machine Learning over Internet-of-Things Data Streams—0
Federated Learning in Open- and Closed-Loop EMG Decoding: A Privacy and Performance Perspective—0
Federated Learning is Better with Non-Homomorphic Encryption—0
Federated Learning Method for Preserving Privacy in Face Recognition System—0
Federated User Representation Learning—0
Federated Learning Nodes Can Reconstruct Peers' Image Data—0
Federated Learning of User Authentication Models—0
FedEval: A Holistic Evaluation Framework for Federated Learning—0
Federated Learning for Metaverse: A Survey—0
Crowdotic: A Privacy-Preserving Hospital Waiting Room Crowd Density Estimation with Non-speech Audio—0
Federated Learning for Localization: A Privacy-Preserving Crowdsourcing Method—0
Federated Learning for Intrusion Detection System: Concepts, Challenges and Future Directions—0
Federated Learning with Buffered Asynchronous Aggregation—0
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping—0
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices—0
Federated Learning with GAN-based Data Synthesis for Non-IID Clients—0
A Survey on Participant Selection for Federated Learning in Mobile Networks—0
A Survey of Zero-Knowledge Proof Based Verifiable Machine Learning—0
Federated Learning with Layer Skipping: Efficient Training of Large Language Models for Healthcare NLP—0
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings—0
Federated Learning without Revealing the Decision Boundaries—0
Federated Learning with Privacy-Preserving Ensemble Attention Distillation—0
Federated Learning for Computationally-Constrained Heterogeneous Devices: A Survey—0
Data collaboration analysis for distributed datasets—0
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency—0
Declarative Privacy-Preserving Inference Queries—0
Federated Mixture-of-Expert for Non-Overlapped Cross-Domain Sequential Recommendation—0
Data-driven Regularized Inference Privacy—0
Federated Multi-View Learning for Private Medical Data Integration and Analysis—0
Federated Nearest Neighbor Machine Translation—0
Federated Neural Collaborative Filtering—0
FederatedNILM: A Distributed and Privacy-preserving Framework for Non-intrusive Load Monitoring based on Federated Deep Learning—0
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research—0
Federated Learning for Commercial Image Sources—0
Federated Learning for Clinical Structured Data: A Benchmark Comparison of Engineering and Statistical Approaches—0
Federated Orthogonal Training: Mitigating Global Catastrophic Forgetting in Continual Federated Learning—0
Cross-device Federated Learning for Mobile Health Diagnostics: A First Study on COVID-19 Detection—0
Federated Privacy-preserving Collaborative Filtering for On-Device Next App Prediction—0
Data Optimisation for a Deep Learning Recommender System—0
Federated Learning Empowered by Generative Content—0
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