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Privacy Preserving

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TitleStatusHype
WebLLM: A High-Performance In-Browser LLM Inference EngineCode11
PowerInfer-2: Fast Large Language Model Inference on a SmartphoneCode9
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning SystemCode4
OnPrem.LLM: A Privacy-Conscious Document Intelligence ToolkitCode4
Eliminating Domain Bias for Federated Learning in Representation SpaceCode4
GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated LearningCode4
BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical TextCode4
A Survey on LoRA of Large Language ModelsCode3
Privacy-Preserving Tree-Based Inference with TFHECode3
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningCode3
Deep Neural Networks for Encrypted Inference with TFHECode3
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision SensorsCode3
CHESS: Contextual Harnessing for Efficient SQL SynthesisCode3
Syft 0.5: A Platform for Universally Deployable Structured TransparencyCode3
FedCLIP: Fast Generalization and Personalization for CLIP in Federated LearningCode2
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language ModelsCode2
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic ForecastingCode2
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare ApplicationsCode2
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic PredictionCode2
Federated Learning with New Knowledge: Fundamentals, Advances, and FuturesCode2
Differentially Private Synthetic Data via Foundation Model APIs 2: TextCode2
DensePose From WiFiCode2
Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance AnalysisCode2
Does Image Anonymization Impact Computer Vision Training?Code2
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