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Privacy Preserving

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Showing 1351–1375 of 2975 papers

TitleStatusHype
Automated Federated Pipeline for Parameter-Efficient Fine-Tuning of Large Language Models—0
FLFE: A Communication-Efficient and Privacy-Preserving Federated Feature Engineering Framework—0
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning—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
Design and Implementation of a Scalable Clinical Data Warehouse for Resource-Constrained Healthcare Systems—0
FLaaS: Federated Learning as a Service—0
DER Forecast using Privacy Preserving Federated Learning—0
First-Person Fairness in Chatbots—0
Gradient Obfuscation Gives a False Sense of Security in Federated Learning—0
Deploying Privacy Guardrails for LLMs: A Comparative Analysis of Real-World Applications—0
GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model—0
Auto-FedRL: Federated Hyperparameter Optimization for Multi-institutional Medical Image Segmentation—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
An Efficient DP-SGD Mechanism for Large Scale NLP Models—0
Advancements in Federated Learning: Models, Methods, and Privacy—0
Guaranteed Privacy-Preserving H_-Optimal Interval Observer Design for Bounded-Error LTI Systems—0
Achieving Transparency in Distributed Machine Learning with Explainable Data Collaboration—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
ABCDP: Approximate Bayesian Computation with Differential Privacy—0
Handling Data Heterogeneity with Generative Replay in Collaborative Learning for Medical Imaging—0
Privacy-Preserving Split Learning with Vision Transformers using Patch-Wise Random and Noisy CutMix—0
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