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cs.LG2025
PSI-PFL: Population Stability Index for Client Selection in non-IID Personalized Federated Learning
Daniel-M. Jimenez-Gutierrez, David Solans, Mohammed Elbamby +1
Federated Learning (FL) enables decentralized machine learning (ML) model training while preserving data privacy by keeping data localized across clients. However, non-independent…
cs.LG2024
Non-IID data in Federated Learning: A Survey with Taxonomy, Metrics, Methods, Frameworks and Future Directions
Daniel M. Jimenez G., David Solans, Mikko Heikkila +4
Recent advances in machine learning have highlighted Federated Learning (FL) as a promising approach that enables multiple distributed users (so-called clients) to collectively tra…