Cover Image

FedSM: Robust Semantics-Guided Feature Mixup for Bias Reduction in Federated Learning with Long-Tail Data

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Jingrui, Xu, Yimeng, Li, Shujie, Liang, Feng, Duan, Haihan, Dong, Yanjie, Leung, Victor C. M., Hu, Xiping
Format:	Preprint
Published:	2025
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Transferable Targeted Attacks with Feature Tuning Mixup
by: Liang, Kaisheng, et al.
Published: (2024)

Text-Guided Mixup Towards Long-Tailed Image Categorization
by: Franklin, Richard, et al.
Published: (2024)

FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift
by: Zhang, Yong, et al.
Published: (2025)

Model Splitting Enhanced Communication-Efficient Federated Learning for CSI Feedback
by: Dong, Yanjie, et al.
Published: (2025)

FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
by: Lu, Xiuhua, et al.
Published: (2024)

Nesterov-Accelerated Robust Federated Learning Over Byzantine Adversaries
by: Xu, Lihan, et al.
Published: (2025)

DeRelayL: Sustainable Decentralized Relay Learning
by: Duan, Haihan, et al.
Published: (2026)

CO-PFL: Contribution-Oriented Personalized Federated Learning for Heterogeneous Networks
by: Xing, Ke, et al.
Published: (2025)

Mix from Failure: Confusion-Pairing Mixup for Long-Tailed Recognition
by: Yoon, Youngseok, et al.
Published: (2024)

Exploring and Mitigating Fawning Hallucinations in Large Language Models
by: Shangguan, Zixuan, et al.
Published: (2025)

Fine-Tuning and Deploying Large Language Models Over Edges: Issues and Approaches
by: Dong, Yanjie, et al.
Published: (2024)

Facial Expression Analysis and Its Potentials in IoT Systems: A Contemporary Survey
by: Shangguan, Zixuan, et al.
Published: (2024)

FedWCM: Unleashing the Potential of Momentum-based Federated Learning in Long-Tailed Scenarios
by: Li, Tianle, et al.
Published: (2025)

pMixFed: Efficient Personalized Federated Learning through Adaptive Layer-Wise Mixup
by: Saadati, Yasaman, et al.
Published: (2025)

"What I Sign Is Not What I See": Towards Explainable and Trustworthy Cryptocurrency Wallet Signatures
by: Qin, Yuyang, et al.
Published: (2026)

Sparse Shortcuts: Facilitating Efficient Fusion in Multimodal Large Language Models
by: Zhang, Jingrui, et al.
Published: (2026)

Geometric Prior Guided Feature Representation Learning for Long-Tailed Classification
by: Ma, Yanbiao, et al.
Published: (2024)

DBN-Mix: Training Dual Branch Network Using Bilateral Mixup Augmentation for Long-Tailed Visual Recognition
by: Baik, Jae Soon, et al.
Published: (2022)

BiFedKD: Bidirectional Federated Knowledge Distillation Framework for Non-IID and Long-Tailed ECG Monitoring
by: Shu, Zixuan, et al.
Published: (2026)

TdAttenMix: Top-Down Attention Guided Mixup
by: Wang, Zhiming, et al.
Published: (2025)

Decoupled Federated Learning on Long-Tailed and Non-IID data with Feature Statistics
by: Chen, Zhuoxin, et al.
Published: (2024)

SUMix: Mixup with Semantic and Uncertain Information
by: Qin, Huafeng, et al.
Published: (2024)

FedGreen: Carbon-aware Federated Learning with Model Size Adaptation
by: Abbasi, Ali, et al.
Published: (2024)

FEDTAIL: Federated Long-Tailed Domain Generalization with Sharpness-Guided Gradient Matching
by: Gupta, Sunny, et al.
Published: (2025)

BOBA: Byzantine-Robust Federated Learning with Label Skewness
by: Bao, Wenxuan, et al.
Published: (2022)

Taming the Long Tail: Denoising Collaborative Information for Robust Semantic ID Generation
by: Xu, Yi, et al.
Published: (2025)

TGM-VLA: Task-Guided Mixup for Sampling-Efficient and Robust Robotic Manipulation
by: Pu, Fanqi, et al.
Published: (2026)

Rectify the Regression Bias in Long-Tailed Object Detection
by: Zhu, Ke, et al.
Published: (2024)

Communication-Efficient Large-Scale Distributed Deep Learning: A Comprehensive Survey
by: Liang, Feng, et al.
Published: (2024)

User-Generated Content and Editors in Games: A Comprehensive Survey
by: Liu, Yuyue, et al.
Published: (2024)

Heavy-Ball Momentum Accelerated Actor-Critic With Function Approximation
by: Dong, Yanjie, et al.
Published: (2024)

Feature Fusion from Head to Tail for Long-Tailed Visual Recognition
by: Li, Mengke, et al.
Published: (2023)

Distance Transform Guided Mixup for Alzheimer's Detection
by: Batool, Zobia, et al.
Published: (2025)

A Study on Mixup-Inspired Augmentation Methods for Software Vulnerability Detection
by: Daneshvar, Seyed Shayan, et al.
Published: (2025)

FedAdaVR: Adaptive Variance Reduction for Robust Federated Learning under Limited Client Participation
by: Howlader, S M Ruhul Kabir, et al.
Published: (2026)

Multi-scale Semantic Prior Features Guided Deep Neural Network for Urban Street-view Image
by: Zeng, Jianshun, et al.
Published: (2024)

Learning Fair Robustness via Domain Mixup
by: Zhong, Meiyu, et al.
Published: (2024)

FedSC: Federated Learning with Semantic-Aware Collaboration
by: Wang, Huan, et al.
Published: (2025)

FedIA: Towards Domain-Robust Aggregation in Federated Graph Learning
by: Zhou, Zhanting, et al.
Published: (2025)

FedEMA-Distill: Exponential Moving Average Guided Knowledge Distillation for Robust Federated Learning
by: Reguieg, Hamza, et al.
Published: (2026)