Tabla de Contenidos: “…12.3.1 Client-side hyperparameters -- 12.3.1.1 Batch size -- 12.3.1.2 Learning rate -- 12.3.1.3 Local epochs -- 12.3.2 Server-side hyperparameters -- 12.3.2.1 Clients per round -- 12.3.2.2 Client timeout / client participation ratio -- 12.3.2.3 Number of rounds -- 12.3.2.4 Staleness -- 12.4 System challenges in FL HPO -- 12.4.1 Data privacy -- 12.4.2 Data heterogeneity -- 12.4.3 Resource limitations -- 12.4.4 Scalability -- 12.4.5 Resource heterogeneity -- 12.4.6 Dynamic data -- 12.4.7 Participation fairness and client dropouts -- 12.5 State-of-the-art -- 12.6 Conclusion -- References -- 13 Hyper-parameter optimization in federated learning -- 13.1 Introduction -- 13.1.1 FL-HPO problem definition -- 13.1.2 Challenges and goals -- 13.2 State-of-the-art FL-HPO approaches -- 13.3 FLoRA: a single-shot FL-HPO approach -- 13.3.1 The main algorithm: leveraging local HPOs -- 13.3.1.1 Why adaptive HPO? …”

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