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Privacy Preserving

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Showing 1951–1975 of 2975 papers

TitleStatusHype
Mix2FLD: Downlink Federated Learning After Uplink Federated Distillation With Two-Way Mixup—0
Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation—0
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers—0
Mixup-Privacy: A simple yet effective approach for privacy-preserving segmentation—0
mmSense: Detecting Concealed Weapons with a Miniature Radar Sensor—0
mmWave Radar for Sit-to-Stand Analysis: A Comparative Study with Wearables and Kinect—0
MOAI: A methodology for evaluating the impact of indoor airflow in the transmission of COVID-19—0
MobiFuse: Learning Universal Human Mobility Patterns through Cross-domain Data Fusion—0
Mobile Augmented Reality with Federated Learning in the Metaverse—0
Privacy-Preserving Blockchain-Based Federated Learning for IoT Devices—0
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey—0
Mobile Wireless Rechargeable UAV Networks: Challenges and Solutions—0
Mobility Accelerates Learning: Convergence Analysis on Hierarchical Federated Learning in Vehicular Networks—0
MOBIUS: Model-Oblivious Binarized Neural Networks—0
Model-Agnostic Decentralized Collaborative Learning for On-Device POI Recommendation—0
Model Agnostic Differentially Private Causal Inference—0
Model-based Large Language Model Customization as Service—0
Model-Free Privacy Preserving Power Flow Analysis in Distribution Networks—0
Modeling the Trade-off of Privacy Preservation and Activity Recognition on Low-Resolution Images—0
Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models—0
Modular Conversational Agents for Surveys and Interviews—0
Momentum Aggregation for Private Non-convex ERM—0
Momentum Gradient Descent Federated Learning with Local Differential Privacy—0
Monitoring Large Crowds With WiFi: A Privacy-Preserving Approach—0
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks—0
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