:: Library Catalog

Copertina

Salvato in:

Dettagli Bibliografici
Autori principali:	Chen, Zhuoxin, Wu, Zhenyu, Ji, Yang
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Machine Learning Artificial Intelligence
Accesso online:	https://arxiv.org/abs/2403.08364
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

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

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

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

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

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

Federated Active Learning Under Extreme Non-IID and Global Class Imbalance
di: Zong, Chen-Chen, et al.
Pubblicazione: (2026)

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

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

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

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

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

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

Long-Term Client Selection for Federated Learning with Non-IID Data: A Truthful Auction Approach
di: Tan, Jinghong, et al.
Pubblicazione: (2025)

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

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

FederatedFactory: Generative One-Shot Learning for Extremely Non-IID Distributed Scenarios
di: Moleri, Andrea, et al.
Pubblicazione: (2026)

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

FedCoSR: Personalized Federated Learning with Contrastive Shareable Representations for Label Heterogeneity in Non-IID Data
di: Huang, Chenghao, et al.
Pubblicazione: (2024)

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

Multi-Modal Federated Learning for Cancer Staging over Non-IID Datasets with Unbalanced Modalities
di: Borazjani, Kasra, et al.
Pubblicazione: (2024)

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

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

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

Federated Self-Supervised Learning for Automatic Modulation Classification under Non-IID and Class-Imbalanced Data
di: Akram, Usman, et al.
Pubblicazione: (2025)

Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
di: Ran, Yide, et al.
Pubblicazione: (2025)

Generalizable Hyperparameter Optimization for Federated Learning on Non-IID Cancer Images
di: Ribeiro, Elisa Gonçalves, et al.
Pubblicazione: (2026)

FedBKD: Distilled Federated Learning to Embrace Gerneralization and Personalization on Non-IID Data
di: Zhao, Yushan, et al.
Pubblicazione: (2025)

Privacy Preserving and Robust Aggregation for Cross-Silo Federated Learning in Non-IID Settings
di: Arazzi, Marco, et al.
Pubblicazione: (2025)

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

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

Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
di: Liu, Cuiwei, et al.
Pubblicazione: (2024)

TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
di: YuHang, Wang, et al.
Pubblicazione: (2025)

Capture Global Feature Statistics for One-Shot Federated Learning
di: Guan, Zenghao, et al.
Pubblicazione: (2025)

FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition
di: Hu, Chen, et al.
Pubblicazione: (2024)

BubbleSpec: Turning Long-Tail Bubbles into Speculative Rollout Drafts for Synchronous Reinforcement Learning
di: Xu, Yuhang, et al.
Pubblicazione: (2026)

Kernel Regression in Structured Non-IID Settings: Theory and Implications for Denoising Score Learning
di: Zhang, Dechen, et al.
Pubblicazione: (2025)

FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning
di: Song, Changlin, et al.
Pubblicazione: (2024)

FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
di: Jimenez-Gutierrez, Daniel M., et al.
Pubblicazione: (2026)

Federated Proximal Optimization for Privacy-Preserving Heart Disease Prediction: A Controlled Simulation Study on Non-IID Clinical Data
di: Asad, Farzam, et al.
Pubblicazione: (2026)

Risk-Informed Diffusion Transformer for Long-Tail Trajectory Prediction in the Crash Scenario
di: Chen, Junlan, et al.
Pubblicazione: (2025)