Saved in:
| Main Authors: | Pang, Dian S. Y., Ergetu, Endrias Y., Topham, Eric, Fetit, Ahmed E. |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2604.08056 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
by: Liu, Yixuan, et al.
Published: (2026)
by: Liu, Yixuan, et al.
Published: (2026)
Distributed sequential federated learning
by: Wang, Z. F., et al.
Published: (2023)
by: Wang, Z. F., et al.
Published: (2023)
Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approach
by: Wang, H., et al.
Published: (2024)
by: Wang, H., et al.
Published: (2024)
Application of federated learning in manufacturing
by: Hegiste, Vinit, et al.
Published: (2022)
by: Hegiste, Vinit, et al.
Published: (2022)
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
by: Salmeron, Jose L., et al.
Published: (2024)
by: Salmeron, Jose L., et al.
Published: (2024)
Distributed client selection with multi-objective in federated learning assisted Internet of Vehicles
by: Cha, Narisu, et al.
Published: (2024)
by: Cha, Narisu, et al.
Published: (2024)
Online federated learning framework for classification
by: Guo, Wenxing, et al.
Published: (2025)
by: Guo, Wenxing, et al.
Published: (2025)
Learning from straggler clients in federated learning
by: Hard, Andrew, et al.
Published: (2024)
by: Hard, Andrew, et al.
Published: (2024)
CoDream: Exchanging dreams instead of models for federated aggregation with heterogeneous models
by: Singh, Abhishek, et al.
Published: (2024)
by: Singh, Abhishek, et al.
Published: (2024)
Can Serum Lactate on Admission to Intensive Care Predict Length of Stay? A Retrospective Analysis of Critically Ill Paediatric Oncology Patients
by: Megan B. Sim, et al.
Published: (2025)
by: Megan B. Sim, et al.
Published: (2025)
Distributed optimization: designed for federated learning
by: Guo, Wenyou, et al.
Published: (2025)
by: Guo, Wenyou, et al.
Published: (2025)
Analysis of regularized federated learning
by: Liu, Langming, et al.
Published: (2024)
by: Liu, Langming, et al.
Published: (2024)
Fair and efficient contribution valuation for vertical federated learning
by: Fan, Zhenan, et al.
Published: (2022)
by: Fan, Zhenan, et al.
Published: (2022)
Prospects of federated machine learning in fluid dynamics
by: San, Omer, et al.
Published: (2022)
by: San, Omer, et al.
Published: (2022)
Flexible variable selection in the presence of missing data
by: Williamson, B. D., et al.
Published: (2022)
by: Williamson, B. D., et al.
Published: (2022)
Personalized federated prototype learning in mixed heterogeneous data scenarios
by: Zeng, Jiahao, et al.
Published: (2025)
by: Zeng, Jiahao, et al.
Published: (2025)
Concurrent vertical and horizontal federated learning with fuzzy cognitive maps
by: Salmeron, Jose L, et al.
Published: (2024)
by: Salmeron, Jose L, et al.
Published: (2024)
Unsupervised feature selection using Bayesian Tucker decomposition
by: Taguchi, Y-h., et al.
Published: (2026)
by: Taguchi, Y-h., et al.
Published: (2026)
Overcoming label shift with target-aware federated learning
by: Zec, Edvin Listo, et al.
Published: (2024)
by: Zec, Edvin Listo, et al.
Published: (2024)
Novel clustered federated learning based on local loss
by: Gu, Endong, et al.
Published: (2024)
by: Gu, Endong, et al.
Published: (2024)
Metabolic Dysregulation as a Central Mechanism in 16p11.2 Deletion Syndrome: A Multigenic Perspective on Clinical Variability and Therapeutic Opportunities
by: Rana Fetit
Published: (2025)
by: Rana Fetit
Published: (2025)
FedDCL: a federated data collaboration learning as a hybrid-type privacy-preserving framework based on federated learning and data collaboration
by: Imakura, Akira, et al.
Published: (2024)
by: Imakura, Akira, et al.
Published: (2024)
Effective and secure federated online learning to rank
by: Wang, Shuyi
Published: (2024)
by: Wang, Shuyi
Published: (2024)
Personalized federated learning based on feature fusion
by: Xing, Wolong, et al.
Published: (2024)
by: Xing, Wolong, et al.
Published: (2024)
Automated Classification of Volcanic Earthquakes Using Transformer Encoders: Insights into Data Quality and Model Interpretability
by: Suzuki, Y., et al.
Published: (2025)
by: Suzuki, Y., et al.
Published: (2025)
Byzantine-resilient federated online learning for Gaussian process regression
by: Zhang, Xu, et al.
Published: (2025)
by: Zhang, Xu, et al.
Published: (2025)
Toward efficient resource utilization at edge nodes in federated learning
by: Alawadi, Sadi, et al.
Published: (2023)
by: Alawadi, Sadi, et al.
Published: (2023)
FedStale: leveraging stale client updates in federated learning
by: Rodio, Angelo, et al.
Published: (2024)
by: Rodio, Angelo, et al.
Published: (2024)
Optimisation of federated learning settings under statistical heterogeneity variations
by: Suleiman, Basem, et al.
Published: (2024)
by: Suleiman, Basem, et al.
Published: (2024)
Privacy-preserving gradient-based fair federated learning
by: Adamek, Janis, et al.
Published: (2024)
by: Adamek, Janis, et al.
Published: (2024)
FedPOD: the deployable units of training for federated learning
by: Kim, Daewoon, et al.
Published: (2025)
by: Kim, Daewoon, et al.
Published: (2025)
Non-convex composite federated learning with heterogeneous data
by: Zhang, Jiaojiao, et al.
Published: (2025)
by: Zhang, Jiaojiao, et al.
Published: (2025)
Application of federated learning techniques for arrhythmia classification using 12-lead ECG signals
by: Gutierrez, Daniel Mauricio Jimenez, et al.
Published: (2022)
by: Gutierrez, Daniel Mauricio Jimenez, et al.
Published: (2022)
Quantum delegated and federated learning via quantum homomorphic encryption
by: Li, Weikang, et al.
Published: (2024)
by: Li, Weikang, et al.
Published: (2024)
Version age-based client scheduling policy for federated learning
by: Hu, Xinyi, et al.
Published: (2024)
by: Hu, Xinyi, et al.
Published: (2024)
CrossADR: enhancing adverse drug reactions prediction for combination pharmacotherapy with cross-layer feature integration and cross-level associative learning
by: Cheung, Y.
Published: (2026)
by: Cheung, Y.
Published: (2026)
An evolutionary perspective on modes of learning in Transformers
by: Ku, Alexander Y., et al.
Published: (2025)
by: Ku, Alexander Y., et al.
Published: (2025)
Rotational Sampling: A Plug-and-Play Encoder for Rotation-Invariant 3D Molecular GNNs
by: Jin, Dian
Published: (2025)
by: Jin, Dian
Published: (2025)
Wind turbine condition monitoring based on intra- and inter-farm federated learning
by: Grataloup, Albin, et al.
Published: (2024)
by: Grataloup, Albin, et al.
Published: (2024)
Incentivising the federation: gradient-based metrics for data selection and valuation in private decentralised training
by: Usynin, Dmitrii, et al.
Published: (2023)
by: Usynin, Dmitrii, et al.
Published: (2023)
Similar Items
-
A multimodal slice discovery framework for systematic failure detection and explanation in medical image classification
by: Liu, Yixuan, et al.
Published: (2026) -
Distributed sequential federated learning
by: Wang, Z. F., et al.
Published: (2023) -
Carbon price fluctuation prediction using blockchain information A new hybrid machine learning approach
by: Wang, H., et al.
Published: (2024) -
Application of federated learning in manufacturing
by: Hegiste, Vinit, et al.
Published: (2022) -
Benchmarking federated strategies in Peer-to-Peer Federated learning for biomedical data
by: Salmeron, Jose L., et al.
Published: (2024)