4 papers
FedOrbit: Adaptive Personalized Federated Learning for Non-IID LEO Satellite Constellations
Satwat Bashir, Tasos Dagiuklas, Muddesar Iqbal
Federated learning (FL) in Low Earth Orbit (LEO) satellite constellations is affected by non-IID data and irregular ground-station visibility, both driven by orbital geometry. Glob…
Fed-BAC: Federated Bandit-Guided Additive Clustering in Hierarchical Federated Learning
Satwat Bashir, Tasos Dagiuklas, Muddesar Iqbal
Hierarchical federated learning (HFL) leverages edge servers for partial aggregation in edge computing. Yet existing FL methods lack mechanisms for jointly optimizing cluster assig…
Architectural Blueprint For Heterogeneity-Resilient Federated Learning
Satwat Bashir, Tasos Dagiuklas, Kasra Kassai +1
This paper proposes a novel three tier architecture for federated learning to optimize edge computing environments. The proposed architecture addresses the challenges associated wi…
GreenBytes: Intelligent Energy Estimation for Edge-Cloud
Kasra Kassai, Tasos Dagiuklas, Satwat Bashir +1
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy co…