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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.LG2024
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
Vu Khanh Quy, Nguyen Minh Quy, Tran Thi Hoai +6
6G wireless networks are expected to provide seamless and data-based connections that cover space-air-ground and underwater networks. As a core partition of future 6G networks, Spa…