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Privacy Preserving
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논문
이 태스크와 하위 분야의 관련 논문입니다. 실제 성능 비교는 평가 결과에서 확인하세요.
Long-Short Distance Graph Neural Networks and Improved Curriculum Learning for Emotion Recognition in Conversation
A Privacy-Preserving Semantic-Segmentation Method Using Domain-Adaptation Technique
Multi-Channel Graph Neural Network for Financial Risk Prediction of NEEQ Enterprises
Transformer-Based Person Identification via Wi-Fi CSI Amplitude and Phase Perturbations
Federated Learning for Commercial Image Sources
Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
Catching Bid-rigging Cartels with Graph Attention Neural Networks
Safeguarding Federated Learning-based Road Condition Classification
Federated Learning in Open- and Closed-Loop EMG Decoding: A Privacy and Performance Perspective
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
Domain Borders Are There to Be Crossed With Federated Few-Shot Adaptation
Privacy-Preserving Multi-Stage Fall Detection Framework with Semi-supervised Federated Learning and Robotic Vision Confirmation
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection
Sparse Self-Federated Learning for Energy Efficient Cooperative Intelligence in Society 5.0
HLF-FSL. A Decentralized Federated Split Learning Solution for IoT on Hyperledger Fabric
Balancing the Past and Present: A Coordinated Replay Framework for Federated Class-Incremental Learning
Credit Risk Analysis for SMEs Using Graph Neural Networks in Supply Chain
An Enhanced Privacy-preserving Federated Few-shot Learning Framework for Respiratory Disease Diagnosis
Quantum Federated Learning for Multimodal Data: A Modality-Agnostic Approach
Towards Privacy-Preserving and Personalized Smart Homes via Tailored Small Language Models
Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming
GNN-ViTCap: GNN-Enhanced Multiple Instance Learning with Vision Transformers for Whole Slide Image Classification and Captioning
DESIGN: Encrypted GNN Inference via Server-Side Input Graph Pruning
Communication-Efficient Module-Wise Federated Learning for Grasp Pose Detection in Cluttered Environments
Leveraging the Spatial Hierarchy: Coarse-to-fine Trajectory Generation via Cascaded Hybrid Diffusion
Blind Targeting: Personalization under Third-Party Privacy Constraints
High Order Collaboration-Oriented Federated Graph Neural Network for Accurate QoS Prediction
Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models
Graph Collaborative Attention Network for Link Prediction in Knowledge Graphs
S2FGL: Spatial Spectral Federated Graph Learning
RLHGNN: Reinforcement Learning-driven Heterogeneous Graph Neural Network for Next Activity Prediction in Business Processes
Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings
A Privacy-Preserving Indoor Localization System based on Hierarchical Federated Learning
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