SOTAVerified

Privacy Preserving

Papers

Showing 150 of 2975 papers

TitleStatusHype
WebLLM: A High-Performance In-Browser LLM Inference EngineCode11
PowerInfer-2: Fast Large Language Model Inference on a SmartphoneCode9
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
OnPrem.LLM: A Privacy-Conscious Document Intelligence ToolkitCode4
FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning SystemCode4
Privacy-Preserving Tree-Based Inference with TFHECode3
OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated LearningCode3
Syft 0.5: A Platform for Universally Deployable Structured TransparencyCode3
A Survey on LoRA of Large Language ModelsCode3
HARDVS: Revisiting Human Activity Recognition with Dynamic Vision SensorsCode3
Deep Neural Networks for Encrypted Inference with TFHECode3
CHESS: Contextual Harnessing for Efficient SQL SynthesisCode3
TEVR: Improving Speech Recognition by Token Entropy Variance ReductionCode2
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language ModelsCode2
TenSEAL: A Library for Encrypted Tensor Operations Using Homomorphic EncryptionCode2
OpBoost: A Vertical Federated Tree Boosting Framework Based on Order-Preserving DesensitizationCode2
SafeEar: Content Privacy-Preserving Audio Deepfake DetectionCode2
Medical Diffusion: Denoising Diffusion Probabilistic Models for 3D Medical Image GenerationCode2
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank AdaptationsCode2
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHFCode2
NVIDIA FLARE: Federated Learning from Simulation to Real-WorldCode2
Offsite-Tuning: Transfer Learning without Full ModelCode2
Improved Scene Landmark Detection for Camera LocalizationCode2
FedGH: Heterogeneous Federated Learning with Generalized Global HeaderCode2
A Synthetic Dataset for Personal Attribute InferenceCode2
FedCLIP: Fast Generalization and Personalization for CLIP in Federated LearningCode2
Investigating Affective Use and Emotional Well-being on ChatGPTCode2
Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML EvaluationCode2
Enhancing the Utility of Privacy-Preserving Cancer Classification using Synthetic DataCode2
Encrypted Vector Similarity Computations Using Partially Homomorphic Encryption: Applications and Performance AnalysisCode2
Evaluation of Bio-Inspired Models under Different Learning Settings For Energy Efficiency in Network Traffic PredictionCode2
Does Image Anonymization Impact Computer Vision Training?Code2
Differentially Private Synthetic Data via Foundation Model APIs 2: TextCode2
EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and VotingCode2
Enhancing Privacy in Federated Learning: Secure Aggregation for Real-World Healthcare ApplicationsCode2
A Survey on Federated Fine-tuning of Large Language ModelsCode2
DensePose From WiFiCode2
AutoFi: Towards Automatic WiFi Human Sensing via Geometric Self-Supervised LearningCode2
Federated Learning in Mobile Networks: A Comprehensive Case Study on Traffic ForecastingCode2
Federated Learning with New Knowledge: Fundamentals, Advances, and FuturesCode2
Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative EditingCode2
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual LearningCode2
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language ModelsCode2
Learnware of Language Models: Specialized Small Language Models Can Do BigCode2
CLEAR: A Fully User-side Image Search SystemCode2
Communication-Efficient Federated Learning with Binary Neural NetworksCode1
A Privacy-Preserving Distributed Architecture for Deep-Learning-as-a-ServiceCode1
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity RecognitionCode1
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