Fed-LDR: Federated Local Data-infused Graph Creation with Node-centric Model Refinement
Fuente:
arXiv
Saved in:
| Main Authors: | Gao, Jiechao, Li, Yuangang, Ahmed, Syeda Faiza |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Neural Architecture Search with Model-Agnostic Meta Learning
by: Huang, Xinyuan, et al.
Published: (2025)
by: Huang, Xinyuan, et al.
Published: (2025)
GraphSnapShot: Caching Local Structure for Fast Graph Learning
by: Liu, Dong, et al.
Published: (2024)
by: Liu, Dong, et al.
Published: (2024)
One Node One Model: Featuring the Missing-Half for Graph Clustering
by: Xie, Xuanting, et al.
Published: (2024)
by: Xie, Xuanting, et al.
Published: (2024)
SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks
by: Puppala, Sai, et al.
Published: (2024)
by: Puppala, Sai, et al.
Published: (2024)
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
by: Chen, Zihan, et al.
Published: (2025)
by: Chen, Zihan, et al.
Published: (2025)
GraphScale: A Framework to Enable Machine Learning over Billion-node Graphs
by: Gupta, Vipul, et al.
Published: (2024)
by: Gupta, Vipul, et al.
Published: (2024)
Fed-REACT: Federated Representation Learning for Heterogeneous and Evolving Data
by: Chen, Yiyue, et al.
Published: (2025)
by: Chen, Yiyue, et al.
Published: (2025)
FedGrAINS: Personalized SubGraph Federated Learning with Adaptive Neighbor Sampling
by: Ceyani, Emir, et al.
Published: (2025)
by: Ceyani, Emir, et al.
Published: (2025)
FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
by: Jiang, Chutian, et al.
Published: (2024)
by: Jiang, Chutian, et al.
Published: (2024)
Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning
by: Fu, Xingbo, et al.
Published: (2024)
by: Fu, Xingbo, et al.
Published: (2024)
Against Multifaceted Graph Heterogeneity via Asymmetric Federated Prompt Learning
by: Guo, Zhuoning, et al.
Published: (2024)
by: Guo, Zhuoning, et al.
Published: (2024)
FedGAT: A Privacy-Preserving Federated Approximation Algorithm for Graph Attention Networks
by: Ambekar, Siddharth, et al.
Published: (2024)
by: Ambekar, Siddharth, et al.
Published: (2024)
FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler
by: Peng, Hongyi, et al.
Published: (2024)
by: Peng, Hongyi, et al.
Published: (2024)
FedPM: Federated Learning Using Second-order Optimization with Preconditioned Mixing of Local Parameters
by: Ishii, Hiro, et al.
Published: (2025)
by: Ishii, Hiro, et al.
Published: (2025)
Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)
by: Li, Yi, et al.
Published: (2026)
FedPDD: A Privacy-preserving Double Distillation Framework for Cross-silo Federated Recommendation
by: Wan, Sheng, et al.
Published: (2023)
by: Wan, Sheng, et al.
Published: (2023)
FedMFS: Federated Multimodal Fusion Learning with Selective Modality Communication
by: Yuan, Liangqi, et al.
Published: (2023)
by: Yuan, Liangqi, et al.
Published: (2023)
pFedMoE: Data-Level Personalization with Mixture of Experts for Model-Heterogeneous Personalized Federated Learning
by: Yi, Liping, et al.
Published: (2024)
by: Yi, Liping, et al.
Published: (2024)
FedNMUT -- Federated Noisy Model Update Tracking Convergence Analysis
by: Chellapandi, Vishnu Pandi, et al.
Published: (2024)
by: Chellapandi, Vishnu Pandi, et al.
Published: (2024)
FedGroup: Efficient Clustered Federated Learning via Decomposed Data-Driven Measure
by: Duan, Moming, et al.
Published: (2020)
by: Duan, Moming, et al.
Published: (2020)
FedHB: Hierarchical Bayesian Federated Learning
by: Kim, Minyoung, et al.
Published: (2023)
by: Kim, Minyoung, et al.
Published: (2023)
FedAST: Federated Asynchronous Simultaneous Training
by: Askin, Baris, et al.
Published: (2024)
by: Askin, Baris, et al.
Published: (2024)
FedFlex: Federated Learning for Diverse Netflix Recommendations
by: Lankester, Sven, et al.
Published: (2025)
by: Lankester, Sven, et al.
Published: (2025)
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model
by: Wu, Feijie, et al.
Published: (2024)
by: Wu, Feijie, et al.
Published: (2024)
FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG
by: Puppala, Sai, et al.
Published: (2024)
by: Puppala, Sai, et al.
Published: (2024)
FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference
by: Hou, Qijun, et al.
Published: (2026)
by: Hou, Qijun, et al.
Published: (2026)
FedQS: Optimizing Gradient and Model Aggregation for Semi-Asynchronous Federated Learning
by: Li, Yunbo, et al.
Published: (2025)
by: Li, Yunbo, et al.
Published: (2025)
FedOptima: Optimizing Resource Utilization in Federated Learning
by: Zhang, Zihan, et al.
Published: (2025)
by: Zhang, Zihan, et al.
Published: (2025)
FedAgg: Adaptive Federated Learning with Aggregated Gradients
by: Yuan, Wenhao, et al.
Published: (2023)
by: Yuan, Wenhao, et al.
Published: (2023)
FedRIR: Rethinking Information Representation in Federated Learning
by: Huang, Yongqiang, et al.
Published: (2025)
by: Huang, Yongqiang, et al.
Published: (2025)
FedClust: Optimizing Federated Learning on Non-IID Data through Weight-Driven Client Clustering
by: Islam, Md Sirajul, et al.
Published: (2024)
by: Islam, Md Sirajul, et al.
Published: (2024)
GradualDiff-Fed: A Federated Learning Specialized Framework for Large Language Model
by: Faiyaz, Amir, et al.
Published: (2025)
by: Faiyaz, Amir, et al.
Published: (2025)
ZKP-FedEval: Verifiable and Privacy-Preserving Federated Evaluation using Zero-Knowledge Proofs
by: Commey, Daniel, et al.
Published: (2025)
by: Commey, Daniel, et al.
Published: (2025)
FedSkipTwin: Digital-Twin-Guided Client Skipping for Communication-Efficient Federated Learning
by: Commey, Daniel, et al.
Published: (2025)
by: Commey, Daniel, et al.
Published: (2025)
FedRDMA: Communication-Efficient Cross-Silo Federated LLM via Chunked RDMA Transmission
by: Zhang, Zeling, et al.
Published: (2024)
by: Zhang, Zeling, et al.
Published: (2024)
FedAuxHMTL: Federated Auxiliary Hard-Parameter Sharing Multi-Task Learning for Network Edge Traffic Classification
by: Ahmed, Faisal, et al.
Published: (2024)
by: Ahmed, Faisal, et al.
Published: (2024)
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
by: Yan, Qifan, et al.
Published: (2025)
by: Yan, Qifan, et al.
Published: (2025)
FedHFT: Efficient Federated Finetuning with Heterogeneous Edge Clients
by: Ilhan, Fatih, et al.
Published: (2025)
by: Ilhan, Fatih, et al.
Published: (2025)
FedZero: Leveraging Renewable Excess Energy in Federated Learning
by: Wiesner, Philipp, et al.
Published: (2023)
by: Wiesner, Philipp, et al.
Published: (2023)
FedMef: Towards Memory-efficient Federated Dynamic Pruning
by: Huang, Hong, et al.
Published: (2024)
by: Huang, Hong, et al.
Published: (2024)
Similar Items
-
Federated Neural Architecture Search with Model-Agnostic Meta Learning
by: Huang, Xinyuan, et al.
Published: (2025) -
GraphSnapShot: Caching Local Structure for Fast Graph Learning
by: Liu, Dong, et al.
Published: (2024) -
One Node One Model: Featuring the Missing-Half for Graph Clustering
by: Xie, Xuanting, et al.
Published: (2024) -
SocFedGPT: Federated GPT-based Adaptive Content Filtering System Leveraging User Interactions in Social Networks
by: Puppala, Sai, et al.
Published: (2024) -
FedHERO: A Federated Learning Approach for Node Classification Task on Heterophilic Graphs
by: Chen, Zihan, et al.
Published: (2025)