Imagen de Portada

A review on different techniques used to combat the non-IID and heterogeneous nature of data in FL

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autor principal:	Iyer, Venkataraman Natarajan
Formato:	Preprint
Publicado:	2024
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Beyond IID: data-driven decision-making in heterogeneous environments
por: Besbes, Omar, et al.
Publicado: (2022)

VARS-FL: Validation-Aligned Client Selection for Non-IID Federated Learning in IoT Systems
por: Lakas, Mohamed, et al.
Publicado: (2026)

Control of a pendulum system: From simulation to reality
por: Natarajan, Iyer Venkataraman
Publicado: (2023)

ProFed: a Benchmark for Proximity-based non-IID Federated Learning
por: Domini, Davide, et al.
Publicado: (2025)

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

PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
por: Jimenez-Gutierrez, Daniel-M., et al.
Publicado: (2025)

Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
por: G., Daniel M. Jimenez, et al.
Publicado: (2024)

Unified theoretical guarantees for stability, consistency, and convergence in neural PDE solvers from non-IID data to physics-informed networks
por: Katende, Ronald
Publicado: (2024)

GitFL: Adaptive Asynchronous Federated Learning using Version Control
por: Hu, Ming, et al.
Publicado: (2022)

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

Protein sequence classification using natural language processing techniques
por: Perveen, Huma, et al.
Publicado: (2024)

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

Re-ENACT: Reinforcement Learning for Emotional Speech Generation using Actor-Critic Strategy
por: Shankar, Ravi, et al.
Publicado: (2024)

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

RoFL: Robust Fingerprinting of Language Models
por: Tsai, Yun-Yun, et al.
Publicado: (2025)

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

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
por: Wang, Haohui, et al.
Publicado: (2023)

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

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
por: Liu, Mingxuan, et al.
Publicado: (2022)

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

Fairness Amidst Non-IID Graph Data: A Literature Review
por: Zhang, Wenbin, et al.
Publicado: (2022)

BlazeFL: Fast and Deterministic Federated Learning Simulation
por: Azuma, Kitsuya, et al.
Publicado: (2026)

ByzFL: Research Framework for Robust Federated Learning
por: González, Marc, et al.
Publicado: (2025)

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
por: Fan, Shunxing, et al.
Publicado: (2024)

Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
por: Wong, Hui Yeok, et al.
Publicado: (2025)

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

Generalization Analysis for Supervised Contrastive Representation Learning under Non-IID Settings
por: Hieu, Nong Minh, et al.
Publicado: (2025)

Revisiting Generalization Measures Beyond IID: An Empirical Study under Distributional Shift
por: Nakai, Sora, et al.
Publicado: (2026)

De-VertiFL: A Solution for Decentralized Vertical Federated Learning
por: Celdrán, Alberto Huertas, et al.
Publicado: (2024)

UnifiedFL: A Dynamic Unified Learning Framework for Equitable Federation
por: Pala, Furkan, et al.
Publicado: (2025)

Predictive change point detection for heterogeneous data
por: Glock, Anna-Christina, et al.
Publicado: (2023)

Robustly estimating heterogeneity in factorial data using Rashomon Partitions
por: Venkateswaran, Aparajithan, et al.
Publicado: (2024)

Consistency-guided semi-supervised outlier detection in heterogeneous data using fuzzy rough sets
por: Chen, Baiyang, et al.
Publicado: (2025)

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

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

Numerical simulation of transient heat conduction with moving heat source using Physics Informed Neural Networks
por: Kalyan, Anirudh, et al.
Publicado: (2025)

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

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

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

Causally Fair Node Classification on Non-IID Graph Data
por: Dai, Yucong, et al.
Publicado: (2025)