Cover Image

Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wong, Hui Yeok, Lim, Chee Kau, Chan, Chee Seng
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

Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data
by: Liao, Xinting, et al.
Published: (2024)

Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity
by: Gu, Hanlin, et al.
Published: (2024)

Towards Privacy-Guaranteed Label Unlearning in Vertical Federated Learning: Few-Shot Forgetting without Disclosure
by: Gu, Hanlin, et al.
Published: (2024)

Semi-Decentralized Federated Edge Learning for Fast Convergence on Non-IID Data
by: Sun, Yuchang, et al.
Published: (2021)

Sample Selection Using Multi-Task Autoencoders in Federated Learning with Non-IID Data
by: Ardıç, Emre, et al.
Published: (2026)

Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning
by: Chen, Huancheng, et al.
Published: (2023)

Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
by: Seo, Jungwon, et al.
Published: (2025)

FedPrism: Adaptive Personalized Federated Learning under Non-IID Data
by: Kumbhakar, Prakash, et al.
Published: (2026)

Taming the Instability: A Robust Second-Order Optimizer for Federated Learning over Non-IID Data
by: Zhang, Yuanqiao, et al.
Published: (2026)

A Thorough Assessment of the Non-IID Data Impact in Federated Learning
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2025)

Dataset Distillation-based Hybrid Federated Learning on Non-IID Data
by: Shi, Xiufang, et al.
Published: (2024)

Learning Critically: Selective Self Distillation in Federated Learning on Non-IID Data
by: He, Yuting, et al.
Published: (2025)

Single-Round Clustered Federated Learning via Data Collaboration Analysis for Non-IID Data
by: Sugawara, Sota, et al.
Published: (2026)

FedSKC: Federated Learning with Non-IID Data via Structural Knowledge Collaboration
by: Wang, Huan, et al.
Published: (2025)

Sample-Efficient Linear Representation Learning from Non-IID Non-Isotropic Data
by: Zhang, Thomas T. C. K., et al.
Published: (2023)

Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets
by: Yan, Xingrun, et al.
Published: (2024)

SemiSFL: Split Federated Learning on Unlabeled and Non-IID Data
by: Xu, Yang, et al.
Published: (2023)

MultiConfederated Learning: Inclusive Non-IID Data handling with Decentralized Federated Learning
by: Duchesne, Michael, et al.
Published: (2024)

Probabilistic Federated Prompt-Tuning with Non-IID and Imbalanced Data
by: Weng, Pei-Yau, et al.
Published: (2025)

Federated Loss Exploration for Improved Convergence on Non-IID Data
by: Internò, Christian, et al.
Published: (2025)

Evaluating Federated Kolmogorov-Arnold Networks on Non-IID Data
by: Sasse, Arthur Mendonça, et al.
Published: (2024)

FedPBS: Proximal-Balanced Scaling Federated Learning Model for Robust Personalized Training for Non-IID Data
by: AbouNassar, Eman M., et al.
Published: (2026)

FedCure: Mitigating Participation Bias in Semi-Asynchronous Federated Learning with Non-IID Data
by: Chen, Yue, 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)

Global Convergence of Continual Learning on Non-IID Data
by: Zhu, Fei, et al.
Published: (2025)

Multi-Level Additive Modeling for Structured Non-IID Federated Learning
by: Chen, Shutong, et al.
Published: (2024)

A Robust Clustered Federated Learning Approach for Non-IID Data with Quantity Skew
by: Ali, Michael Ben, et al.
Published: (2025)

AFCL: Analytic Federated Continual Learning for Spatio-Temporal Invariance of Non-IID Data
by: Tang, Jianheng, et al.
Published: (2025)

TriplePlay: Enhancing Federated Learning with CLIP for Non-IID Data and Resource Efficiency
by: Imteaj, Ahmed, et al.
Published: (2024)

Momentum Benefits Non-IID Federated Learning Simply and Provably
by: Cheng, Ziheng, et al.
Published: (2023)

Addressing the Inconsistency in Bayesian Deep Learning via Generalized Laplace Approximation
by: Chen, Yinsong, et al.
Published: (2024)

Stable Diffusion-based Data Augmentation for Federated Learning with Non-IID Data
by: Morafah, Mahdi, et al.
Published: (2024)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
by: Lee, Seunghyun, et al.
Published: (2025)

OvA-LP: A Simple and Efficient Framework for Federated Learning on Non-IID Data
by: Park, Dongjin, et al.
Published: (2025)

Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization
by: Zhang, Xinyu, et al.
Published: (2023)

Logit Calibration and Feature Contrast for Robust Federated Learning on Non-IID Data
by: Qiao, Yu, et al.
Published: (2024)

Federated Multi-Task Learning on Non-IID Data Silos: An Experimental Study
by: Yang, Yuwen, et al.
Published: (2024)

Certifying the Right to Be Forgotten: Primal-Dual Optimization for Sample and Label Unlearning in Vertical Federated Learning
by: Jiang, Yu, et al.
Published: (2025)

A Client-level Assessment of Collaborative Backdoor Poisoning in Non-IID Federated Learning
by: Lai, Phung, et al.
Published: (2025)

Taming Preconditioner Drift: Unlocking the Potential of Second-Order Optimizers for Federated Learning on Non-IID Data
by: Liu, Junkang, et al.
Published: (2026)