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[HTML][HTML] Small models, big impact: A review on the power of lightweight Federated Learning
Abstract Federated Learning (FL) enhances Artificial Intelligence (AI) applications by
enabling individual devices to collaboratively learn shared models without uploading local …
enabling individual devices to collaboratively learn shared models without uploading local …
Non-iid data in federated learning: A systematic review with taxonomy, metrics, methods, frameworks and future directions
D Solans, M Heikkila, A Vitaletti, N Kourtellis… - ar** robust artificial intelligence (AI) models that generalize well to unseen datasets
is challenging and usually requires large and variable datasets, preferably from multiple …
is challenging and usually requires large and variable datasets, preferably from multiple …
FedImpute: Personalized federated learning for data imputation with clusterer and auxiliary classifier
Y Li, S Guo, X Guo, P Zhao, X Ren, H Wang - Expert Systems with …, 2025 - Elsevier
Missing data is a prevalent challenge in real-world applications, hindering the usability and
quality of datasets. Data imputation, a method to substitute missing values, offers a solution …
quality of datasets. Data imputation, a method to substitute missing values, offers a solution …
Mind the Gap: Federated Learning Broadens Domain Generalization in Diagnostic AI Models
ST Arasteh, C Kuhl, MJ Saehn, P Isfort, D Truhn… - ar** robust artificial intelligence (AI) models that generalize well to unseen datasets
is challenging and usually requires large and variable datasets, preferably from multiple …
is challenging and usually requires large and variable datasets, preferably from multiple …
Threat Intelligence in IoMTs with Federated Learning using Non-IID Data: An Experimental Analysis
In the rapidly evolving field of Artificial Intelligence (AI) empowered cyberspace, securing the
Internet of Medical Things (IoMTs) demands innovative strategies. Intrusion Detection …
Internet of Medical Things (IoMTs) demands innovative strategies. Intrusion Detection …