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Privacy Preserving

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Showing 1351–1400 of 2975 papers

TitleStatusHype
Design of Privacy-Preserving Dynamic Controllers—0
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning—0
Designing Fairness in Autonomous Peer-to-peer Energy Trading—0
Gradient and Channel Aware Dynamic Scheduling for Over-the-Air Computation in Federated Edge Learning Systems—0
A Compressive Sensing Approach for Federated Learning over Massive MIMO Communication Systems—0
Privacy-Preserving Federated Learning via Dataset Distillation—0
Designing DSIC Mechanisms for Data Sharing in the Era of Large Language Models—0
FLIGAN: Enhancing Federated Learning with Incomplete Data using GAN—0
Designing a Transactive Electric Vehicle Agent with Customer's Participation Preference—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models—0
GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model—0
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework—0
Graph-Homomorphic Perturbations for Private Decentralized Learning—0
Gromov-Wasserstein Discrepancy with Local Differential Privacy for Distributed Structural Graphs—0
Grounding Foundation Models through Federated Transfer Learning: A General Framework—0
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning—0
Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems—0
Guaranteed Privacy-Preserving H_-Optimal Interval Observer Design for Bounded-Error LTI Systems—0
FLaaS: Federated Learning as a Service—0
GuardNN: Secure Accelerator Architecture for Privacy-Preserving Deep Learning—0
Guided Persona-based AI Surveys: Can we replicate personal mobility preferences at scale using LLMs?—0
DER Forecast using Privacy Preserving Federated Learning—0
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging—0
First-Person Fairness in Chatbots—0
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications—0
Harnessing Wireless Channels for Scalable and Privacy-Preserving Federated Learning—0
Harvesting Private Medical Images in Federated Learning Systems with Crafted Models—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—0
Hawk: Accurate and Fast Privacy-Preserving Machine Learning Using Secure Lookup Table Computation—0
HCFContext: Smartphone Context Inference via Sequential History-based Collaborative Filtering—0
hear-your-action: human action recognition by ultrasound active sensing—0
An Efficient DP-SGD Mechanism for Large Scale NLP Models—0
Advancements in Federated Learning: Models, Methods, and Privacy—0
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration—0
Here Is Not There: Measuring Entailment-Based Trajectory Similarity for Location-Privacy Protection and Beyond—0
ABCDP: Approximate Bayesian Computation with Differential Privacy—0
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix—0
Finite Time Privacy Preserving Quantized Average Consensus with Transmission Stopping—0
Heterogeneous Federated Learning via Grouped Sequential-to-Parallel Training—0
Heterogeneous Federated Learning with Convolutional and Spiking Neural Networks—0
Finite-Time Analysis of Fully Decentralized Single-Timescale Actor-Critic—0
Heterogeneous LoRA for Federated Fine-tuning of On-Device Foundation Models—0
Fine-Tuning with Differential Privacy Necessitates an Additional Hyperparameter Search—0
Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting—0
H-FLTN: A Privacy-Preserving Hierarchical Framework for Electric Vehicle Spatio-Temporal Charge Prediction—0
Fine-Tuning a Local LLaMA-3 Large Language Model for Automated Privacy-Preserving Physician Letter Generation in Radiation Oncology—0
A methodology for training homomorphicencryption friendly neural networks—0
FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users—0
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data—0
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