4 citations · 7 across the 8 of their papers we have counts for
5 papers · 1 filter
Hidden in Rounds: Predicting the Time Cost of 802.11 Contention in Federated Learning
Satwat Bashir, Tasos Dagiuklas
Federated learning over IEEE~802.11 shares the wireless channel among clients that send model updates. We use ns-3 to measure the frame-delivery ratio and saturation throughput for…
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…
Trust Aware Federated Learning for Secure Bone Healing Stage Interpretation in e-Health
Paul Shepherd, Tasos Dagiuklas, Bugra Alkan +2
This paper presents a trust aware federated learning (FL) framework for interpreting bone healing stages using spectral features derived from frequency response data. The primary o…
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…