Satwat Bashir
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View article: Federated Learning for Energy Efficiency in 6G
Federated Learning for Energy Efficiency in 6G Open
This paper presents a multi-tier Federated Learning (FL) architecture designed to optimize energy efficiency in 6G, with particular emphasis on compliance with the Network Data Analytics Function (NWDAF) standards defined by 3GPP. Unlike e…
View article: GreenBytes: intelligent energy estimation for edge-cloud
GreenBytes: intelligent energy estimation for edge-cloud Open
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environmen…
View article: Architectural blueprint for heterogeneity-resilient federated learning
Architectural blueprint for heterogeneity-resilient federated learning Open
This paper proposes a novel three-tier architecture for federated learning to optimize edge computing environments. The proposed architecture addresses the challenges associated with client data heterogeneity and computational constraints.…
View article: GreenBytes: Intelligent Energy Estimation for Edge-Cloud
GreenBytes: Intelligent Energy Estimation for Edge-Cloud Open
This study investigates the application of advanced machine learning models, specifically Long Short-Term Memory (LSTM) networks and Gradient Booster models, for accurate energy consumption estimation within a Kubernetes cluster environmen…
View article: Architectural Blueprint For Heterogeneity-Resilient Federated Learning
Architectural Blueprint For Heterogeneity-Resilient Federated Learning Open
This paper proposes a novel three tier architecture for federated learning to optimize edge computing environments. The proposed architecture addresses the challenges associated with client data heterogeneity and computational constraints.…