Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification
A constrained Bayesian Optimization framework for the efficient configuration of HFL deployments that captures user-defined trade-offs among energy consumption, execution time, and predictive performance, while explicit constraints ensure compliance with deployment-specific resource and accuracy requirements.
Athanasios Papanikolaou, Athanasios Tziouvaras, A. Xenakis et al.
· 0 citations