Cover Image

CEPerFed: Communication-Efficient Personalized Federated Learning for Multi-Pulse MRI Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Ludi, Mao, Junbin, Lin, Hanhe, Tian, Xu, Wu, Fang-Xiang, Liu, Jin
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-modal Multi-kernel Graph Learning for Autism Prediction and Biomarker Discovery
by: Liu, Jin, et al.
Published: (2023)

FedAdamW: A Communication-Efficient Optimizer with Convergence and Generalization Guarantees for Federated Large Models
by: Liu, Junkang, et al.
Published: (2025)

FedBCD:Communication-Efficient Accelerated Block Coordinate Gradient Descent for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)

FedMPQ: Secure and Communication-Efficient Federated Learning with Multi-codebook Product Quantization
by: Yang, Xu, et al.
Published: (2024)

Task-guided Spatiotemporal Network with Diffusion Augmentation for EEG-based Dementia Diagnosis and MMSE Prediction
by: Zheng, Xiaoyu, et al.
Published: (2026)

CoCo-Fed: A Unified Framework for Memory- and Communication-Efficient Federated Learning at the Wireless Edge
by: Guo, Zhiheng, et al.
Published: (2026)

Fed-PELAD: Communication-Efficient Federated Learning for Massive MIMO CSI Feedback with Personalized Encoders and a LoRA-Adapted Shared Decoder
by: Zhou, Yixiang, et al.
Published: (2025)

FedTrans: Efficient Federated Learning via Multi-Model Transformation
by: Zhu, Yuxuan, et al.
Published: (2024)

Personalized Quantum Federated Learning for Privacy Image Classification
by: Shi, Jinjing, et al.
Published: (2024)

SatFed: A Resource-Efficient LEO Satellite-Assisted Heterogeneous Federated Learning Framework
by: Zhang, Yuxin, et al.
Published: (2024)

pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning
by: Lai, Jiahao, et al.
Published: (2024)

FedMap: Iterative Magnitude-Based Pruning for Communication-Efficient Federated Learning
by: Herzog, Alexander, et al.
Published: (2024)

ProgFed: Effective, Communication, and Computation Efficient Federated Learning by Progressive Training
by: Wang, Hui-Po, et al.
Published: (2021)

FedMuon: Accelerating Federated Learning with Matrix Orthogonalization
by: Liu, Junkang, et al.
Published: (2025)

FedNSAM:Consistency of Local and Global Flatness for Federated Learning
by: Liu, Junkang, et al.
Published: (2026)

FedRAV: Hierarchically Federated Region-Learning for Traffic Object Classification of Autonomous Vehicles
by: Zhai, Yijun, et al.
Published: (2024)

FedPPA: Progressive Parameter Alignment for Personalized Federated Learning
by: Prasetia, Maulidi Adi, et al.
Published: (2025)

FedAH: Aggregated Head for Personalized Federated Learning
by: Zhou, Pengzhan, et al.
Published: (2024)

FedPAW: Federated Learning with Personalized Aggregation Weights for Urban Vehicle Speed Prediction
by: He, Yuepeng, et al.
Published: (2024)

FedBWO: Enhancing Communication Efficiency in Federated Learning
by: Hayyolalam, Vahideh, et al.
Published: (2025)

FedKRSO: Communication and Memory Efficient Federated Fine-Tuning of Large Language Models
by: Yang, Guohao, et al.
Published: (2026)

FedMLP: Federated Multi-Label Medical Image Classification under Task Heterogeneity
by: Sun, Zhaobin, et al.
Published: (2024)

Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
by: Elbakary, Ahmed, et al.
Published: (2024)

FedAGHN: Personalized Federated Learning with Attentive Graph HyperNetworks
by: Song, Jiarui, et al.
Published: (2025)

FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification
by: Chen, Hui, et al.
Published: (2024)

FedOBP: Federated Optimal Brain Personalization through Cloud-Edge Element-wise Decoupling
by: Chen, Xingyan, et al.
Published: (2026)

DP-FedAdamW: An Efficient Optimizer for Differentially Private Federated Large Models
by: Liu, Jin, et al.
Published: (2026)

FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
by: Li, Youpeng, et al.
Published: (2024)

FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs
by: Han, Shanshan, et al.
Published: (2023)

FedP$^2$EFT: Federated Learning to Personalize PEFT for Multilingual LLMs
by: Lee, Royson, et al.
Published: (2025)

FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning
by: Tamirisa, Rishub, et al.
Published: (2024)

FedMetaMed: Federated Meta-Learning for Personalized Medication in Distributed Healthcare Systems
by: Gao, Jiechao, et al.
Published: (2024)

Personalized Federated Dictionary Learning for Modeling Heterogeneity in Multi-site fMRI Data
by: Zhang, Yipu, et al.
Published: (2025)

FedCoT: Communication-Efficient Federated Reasoning Enhancement for Large Language Models
by: Li, Chuan, et al.
Published: (2025)

FedSAUC: A Similarity-Aware Update Control for Communication-Efficient Federated Learning in Edge Computing
by: Lee, Ming-Lun, et al.
Published: (2025)

FedRSClip: Federated Learning for Remote Sensing Scene Classification Using Vision-Language Models
by: Lin, Hui, et al.
Published: (2025)

Few-for-Many Personalized Federated Learning
by: Guo, Ping, et al.
Published: (2026)

Communication-Efficient Personalized Federal Graph Learning via Low-Rank Decomposition
by: Liu, Ruyue, et al.
Published: (2024)

FedZMG: Efficient Client-Side Optimization in Federated Learning
by: Zantalis, Fotios, et al.
Published: (2026)

Fed-Credit: Robust Federated Learning with Credibility Management
by: Chen, Jiayan, et al.
Published: (2024)