Paper published on intent-driven model pruning for energy-efficient hierarchical federated learning
Charitha Elvitigala's paper on intent-driven dual-layer model pruning for energy-efficient hierarchical federated learning in IoT has been published in IEEE Internet of Things Journal.
Charitha Elvitigala, Ibrahim Khalil, Shehan Edirimannage, Mohammed Atiquzzaman, and Wathsara Daluwatta’s paper Intent-Driven Dual-Layer Model Pruning for Energy-Efficient Hierarchical Federated Learning in IoT With Non-IID Data has been published in IEEE Internet of Things Journal.
The work appears in IEEE Internet of Things Journal 13(9): 18415-18428 (2026), and studies energy-efficient hierarchical federated learning for IoT systems with non-IID data.
Congratulations to Charitha Elvitigala, Professor Ibrahim Khalil, Shehan Edirimannage, Mohammed Atiquzzaman, and Wathsara Daluwatta.