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Privacy Preserving

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/qiushuo0913/DT-powered-AMS

공식 코드

Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning

https://github.com/qiyu3816/gdsg

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GDSG: Graph Diffusion-based Solution Generator for Optimization Problems in MEC Networks

https://github.com/qizhuang-qz/fedcspc

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Cross-Silo Prototypical Calibration for Federated Learning with Non-IID Data

https://github.com/ql909/mathematical_definitions

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Scaling While Privacy Preserving: A Comprehensive Synthetic Tabular Data Generation and Evaluation in Learning Analytics

https://github.com/qslim/soft-mask-gnn

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Soft-mask: Adaptive Substructure Extractions for Graph Neural Networks

https://github.com/qub-blesson/fedfly

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FedFly: Towards Migration in Edge-based Distributed Federated Learning

https://github.com/qubole/qubole-log-datasets

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Delog: A Privacy Preserving Log Filtering Framework for Online Compute Platforms

https://github.com/qwq2000/thewebconf24-ltgnn-pytorch

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Linear-Time Graph Neural Networks for Scalable Recommendations

https://github.com/radoslav11/sp-mpnn

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Shortest Path Networks for Graph Property Prediction

https://github.com/raeidsaqur/clevr-parser

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CLEVR Parser: A Graph Parser Library for Geometric Learning on Language Grounded Image Scenes

https://github.com/raember/yolov5r_autodidact

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Video object detection for privacy-preserving patient monitoring in intensive care

https://github.com/rajarshisaha95/private-collaborative-relaying

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Privacy Preserving Semi-Decentralized Mean Estimation over Intermittently-Connected Networks

https://github.com/rama726/capslorentznet

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Integrating Physics Inspired Features with Graph Convolution

https://github.com/ramiMMhamza/Fed-Protoid

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Privacy-Preserving Adaptive Re-Identification without Image Transfer

https://github.com/rand2ai/awesome-vulnerability-of-federated-learning

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A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective

https://github.com/rand2ai/fedkl

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Gradient Leakage Defense with Key-Lock Module for Federated Learning

https://github.com/ranqiu92/NumNet

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NumNet: Machine Reading Comprehension with Numerical Reasoning

https://github.com/raphaelsulzer/dgnn

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Scalable Surface Reconstruction with Delaunay-Graph Neural Networks

https://github.com/rasmus-pagh/alt22-code

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Infinitely Divisible Noise in the Low Privacy Regime

https://github.com/ratmcu/wikipiifed

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A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning

https://github.com/raynbowy23/fedmeta-geolane

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Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection

https://github.com/raynbowy23/regt-gcn

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Truck Parking Usage Prediction with Decomposed Graph Neural Networks

https://github.com/rccohn/deepspparks

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Graph convolutional network for predicting abnormal grain growth in Monte Carlo simulations of microstructural evolution

https://github.com/reail-iitd/tango

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TANGO: Commonsense Generalization in Predicting Tool Interactions for Mobile Manipulators

https://github.com/recklessronan/pgnn-ek

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A Neural Network Architecture for Program Understanding Inspired by Human Behaviors

https://github.com/renj-xu/negsc

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Applying Self-supervised Learning to Network Intrusion Detection for Network Flows with Graph Neural Network

https://github.com/renli1024/se-gnn

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How Does Knowledge Graph Embedding Extrapolate to Unseen Data: A Semantic Evidence View

https://github.com/research-limingjun/wef-defense

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Rethinking the Defense Against Free-rider Attack From the Perspective of Model Weight Evolving Frequency

https://github.com/reysam93/Graph_Deep_Decoder

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Untrained Graph Neural Networks for Denoising

https://github.com/reysam93/dag_conv_nn

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Convolutional Learning on Directed Acyclic Graphs

https://github.com/rezafotohi/FedAnilPlus

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A Lightweight and Secure Deep Learning Model for Privacy-Preserving Federated Learning in Intelligent Enterprises

https://github.com/richardcui18/mia_in_kd

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On Membership Inference Attacks in Knowledge Distillation

https://github.com/riemanngraph/motifrgc

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Motif-aware Riemannian Graph Neural Network with Generative-Contrastive Learning

https://github.com/rina-ding/gat-mamba

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Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide Images

https://github.com/ringbdstack/ace-hgnn

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ACE-HGNN: Adaptive Curvature Exploration Hyperbolic Graph Neural Network

https://github.com/ringbdstack/rplm_sed

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Relational Prompt-based Pre-trained Language Models for Social Event Detection

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