3 papers
cs.LG2026
Constrained Bayesian Optimization for Hierarchical Federated Learning in IoT Networks for Plant Disease Classification
Athanasios Papanikolaou, Athanasios Tziouvaras, Apostolos Xenakis +6
The deployment of Hierarchical Federated Learning (HFL) in resource-constrained Internet of Things (IoT) environments requires careful configuration to balance predictive performan…
cs.DC2026
Performance and Energy Trade-Off Analysis of Hierarchical Federated Learning for Plant Disease Classification
Athanasios Papanikolaou, Athanasios Tziouvaras, Pavlos Stoikos +6
Early detection of plant diseases is critical for improving crop productivity, while it also facilitates the foundations of precision agriculture. Recent advances in distributed de…
cs.IR2019
Re-ranking Based Diversification: A Unifying View
Shameem A Puthiya Parambath
We analyze different re-ranking algorithms for diversification and show that majority of them are based on maximizing submodular/modular functions from the class of parameterized c…