Cover Image

Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Ruyue, Yin, Rong, Bo, Xiangzhen, Hao, Xiaoshuai, Zhou, Xingrui, Liu, Yong, Ma, Can, Wang, Weiping
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Panaceas for Improving Low-Rank Decomposition in Communication-Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2025)

Towards Communication-Efficient Decentralized Federated Graph Learning over Non-IID Data
by: Wang, Shilong, et al.
Published: (2025)

FedCod: An Efficient Communication Protocol for Cross-Silo Federated Learning with Coding
by: Yan, Peishen, et al.
Published: (2024)

Distributed And Parallel Low-Diameter Decompositions for Arbitrary and Restricted Graphs
by: Dou, Jinfeng, et al.
Published: (2024)

Federated Learning Using Coupled Tensor Train Decomposition
by: Zhang, Xiangtao, et al.
Published: (2024)

DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
by: Yang, Minghao, et al.
Published: (2024)

FIRED: a fine-grained robust performance diagnosis framework for cloud applications
by: Xin, Ruyue, et al.
Published: (2022)

EcoLoRA: Communication-Efficient Federated Fine-Tuning of Large Language Models
by: Liu, Han, et al.
Published: (2025)

Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)

Personalized Federated Learning on Data with Dynamic Heterogeneity under Limited Storage
by: Tan, Sixing, et al.
Published: (2024)

Rethinking Personalized Federated Learning with Clustering-based Dynamic Graph Propagation
by: Wang, Jiaqi, et al.
Published: (2024)

Hyperion: Low-Latency Ultra-HD Video Analytics via Collaborative Vision Transformer Inference
by: Jiang, Linyi, et al.
Published: (2025)

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
by: Li, Xiaochen, et al.
Published: (2024)

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning
by: Li, Jian, et al.
Published: (2024)

Adaptive Client Selection with Personalization for Communication Efficient Federated Learning
by: de Souza, Allan M., et al.
Published: (2024)

FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence
by: Wu, Zhiyuan, et al.
Published: (2023)

Graph-based Gossiping for Communication Efficiency in Decentralized Federated Learning
by: Nguyen, Huong, et al.
Published: (2025)

Computation and Communication Efficient Lightweighting Vertical Federated Learning for Smart Building IoT
by: Wang, Heqiang, et al.
Published: (2024)

Towards Federated Low-Rank Adaptation of Language Models with Rank Heterogeneity
by: Byun, Yuji, et al.
Published: (2024)

HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning
by: Liu, Qianli, et al.
Published: (2025)

Communication-Efficient Model Aggregation with Layer Divergence Feedback in Federated Learning
by: Wang, Liwei, et al.
Published: (2024)

EcoFed: Efficient Communication for DNN Partitioning-based Federated Learning
by: Wu, Di, et al.
Published: (2023)

CondenseGraph: Communication-Efficient Distributed GNN Training via On-the-Fly Graph Condensation
by: Zhang, Zizhao, et al.
Published: (2026)

Federated k-Core Decomposition: A Secure Distributed Approach
by: Guo, Bin, et al.
Published: (2024)

Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
by: Ding, Yahao, et al.
Published: (2026)

Federated Temporal Graph Clustering
by: Zhou, Zihao, et al.
Published: (2024)

Heterogeneous Federated Fine-Tuning with Parallel One-Rank Adaptation
by: Zhang, Zikai, et al.
Published: (2026)

Energy Efficient Federated Learning with Hyperdimensional Computing (HDC)
by: Ding, Yahao, et al.
Published: (2026)

Caesar: A Low-deviation Compression Approach for Efficient Federated Learning
by: Yan, Jiaming, et al.
Published: (2024)

PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
by: Zhang, Jianqing, et al.
Published: (2023)

FedADAS: Communication-Efficient Federated Distillation for On-Device Driver Yawn Recognition in Vehicular Networks
by: Mujtaba, Ahmed, et al.
Published: (2026)

FedSem: A Resource Allocation Scheme for Federated Learning Assisted Semantic Communication
by: Zhou, Xinyu, et al.
Published: (2025)

MOSS: A Large-scale Open Microscopic Traffic Simulation System
by: Zhang, Jun, et al.
Published: (2024)

Class-Wise Federated Averaging for Efficient Personalization
by: Lee, Gyuejeong, et al.
Published: (2024)

Elastic Mixture of Rank-Wise Experts for Knowledge Reuse in Federated Fine-Tuning
by: Wu, Yebo, et al.
Published: (2025)

RapidGNN: Communication Efficient Large-Scale Distributed Training of Graph Neural Networks
by: Niam, Arefin, et al.
Published: (2025)

A Parallel and Distributed Rust Library for Core Decomposition on Large Graphs
by: Rucci, Davide, et al.
Published: (2025)

Federated Learning for Terahertz Wireless Communication
by: Baydas, O. Tansel, et al.
Published: (2025)

Masked Random Noise for Communication Efficient Federated Learning
by: Li, Shiwei, et al.
Published: (2024)

Fed-GAME: Personalized Federated Learning with Graph Attention Mixture-of-Experts For Time-Series Forecasting
by: Li, Yi, et al.
Published: (2026)