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FedGCN: Federated Learning-Based Graph Convolutional Networks for Non-Euclidean Spatial Data
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.cageo.2021.104940openalex-snapshot
Strip pooling channel spatial attention network for the segmentation of cloud and cloud shadow
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SUACDNet: Attentional change detection network based on siamese U-shaped structure
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Federated Reinforcement Learning for Fast Personalization
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FedMax: Enabling a Highly-Efficient Federated Learning Framework
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SecureBoost: A Lossless Federated Learning Framework
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PANDA: parallel asymmetric network with double attention for cloud and its shadow detection
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Communication-Efficient Learning of Deep Networks from Decentralized Data
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Towards Federated Learning at Scale: System Design
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Federated Machine Learning: Concept and Applications
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Bayesian Nonparametric Federated Learning of Neural Networks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Privacy-Balanced Protection Methodology for Vehicle Health Monitoring Under the Federated Learning Framework
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Rethinking Personalized Federated Learning with Clustering-Based Dynamic Graph Propagation
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Fc-gcn: A formal concept-enhanced graph convolution network model
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Federated graph neural network for privacy-preserved supply chain data sharing
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Container cluster placement in edge computing based on reinforcement learning incorporating graph convolutional networks scheme
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Federated learning optimization: A computational blockchain process with offloading analysis to enhance security
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FedMMD: A Federated weighting algorithm considering Non-IID and Local Model Deviation
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Communication-efficient decentralized federated graph learning via knowledge distillation under dual heterogeneity
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Federated topology graph neural networks
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A review of research on reinforcement learning algorithms for multi-agents
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ALPPA: An accuracy-lossless and privacy-preserving aggregation strategy for federated knowledge graph completion model
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Federated dynamic graph neural network for cross-modal organizational real-time community detection
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Federated Incremental Learning algorithm based on Topological Data Analysis
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Concept-cognitive Learning-empowered Federated Graph learning paradigm for social networks
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Fault diagnosis of actuators in UAV swarm based on personalized federated graph networks
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Prevention of Data Privacy and Recommendations using Federated Graph Neural Network
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Spatio-Temporal Graph Neural Network Traffic Flow Prediction Based on Temporal Correlation
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Is Averaging Always the Best? Improving Aggregation Method for Federated Knowledge Graph Embedding
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Ensuring Minority Group Rights in Social IoT with Fairness-aware Federated Graph Node Classification
inferred← citeshttps://doi.org/10.1109/jiot.2024.3415644openalex-snapshot
Fed-STWave: A Privacy-Preserving Federated Taxi Demand Prediction Model
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Approaching Expressive and Secure Vertical Federated Learning With Embedding Alignment in Intelligent IoT Systems
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Research on Low-Light Environment SLAM System via Retinex Enhancement and Deep Feature Optimization
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K-Core Structure Feature Encoding-Based Enhanced Federated Graph Learning Framework
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Traffic Prediction Based on Formal Concept-Enhanced Federated Graph Learning
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Federated Graph Neural Networks: Overview, Techniques, and Challenges
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Horizontal Federated Heterogeneous Graph Learning: A Multi-Scale Adaptive Solution to Data Distribution Challenges
inferred← citeshttps://doi.org/10.1145/3701551.3703493openalex-snapshot
FedGF: Enhancing Structural Knowledge via Graph Factorization for Federated Graph Learning
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Application of optimization of teacher teaching path in art education based on GCN
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Fusion Privacy Protection of Graph Neural Network Points of Interest Recommendation
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Federated Learning in der Arbeitsplanung
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UW Deep SLAM-CNN Assisted Underwater SLAM
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Federated Graph Semantic and Structural Learning
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An Improved Philips Algorithm
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End-to-End: A Simple Template for the Long-Tailed-Recognition of Transmission Line Clamps via a Vision-Language Model
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TEM Strata Inversion Imaging with IP Effect Based on Enhanced GCN by Extracting Long-Dependency Features
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An Efficient Forest Fire Detection Algorithm Using Improved YOLOv5
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Overview of Underwater 3D Reconstruction Technology Based on Optical Images
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An Overview on Visual SLAM: From Tradition to Semantic
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Bitemporal Remote Sensing Image Change Detection Network Based on Siamese-Attention Feedback Architecture
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Multiple Attention Mechanism Graph Convolution HAR Model Based on Coordination Theory
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Federated Graph Attention Neural Networks (FeGAN) for Privacy-Preserving Crop Disease Detection
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