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cs.LG2026
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…
cs.LG2026
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…
cs.LG2024
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…