Towards a Unified Pandemic Management Architecture: Survey, Challenges, and Future Directions
The pandemic caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-
2) has impacted the economy, health, and society. Emerging strains are making pandemic …
2) has impacted the economy, health, and society. Emerging strains are making pandemic …
Architectural Blueprint For Heterogeneity-Resilient Federated Learning
S Bashir, T Dagiuklas, K Kassai, M Iqbal - arXiv preprint arXiv:2403.04546, 2024 - arxiv.org
This paper proposes a novel three tier architecture for federated learning to optimize edge
computing environments. The proposed architecture addresses the challenges associated …
computing environments. The proposed architecture addresses the challenges associated …
Gradient scheduling with global momentum for asynchronous federated learning in edge environment
Federated Learning has attracted widespread attention in recent years because it allows
massive edge nodes to collaboratively train machine learning models without sharing their …
massive edge nodes to collaboratively train machine learning models without sharing their …
Event-Driven FaaS Workflows for Enabling IoT Data Processing at the Cloud Edge Continuum
Continuum Computing encompasses the integration of diverse infrastructures, including
cloud, edge, and fog, to facilitate seamless migration of applications based on their specific …
cloud, edge, and fog, to facilitate seamless migration of applications based on their specific …
Byzantine Tolerant Algorithms for Federated Learning
In federated learning, workers periodically upload locally computed weights to a federated
learning server (FL server). When Byzantine attacks are presented in the system, attacked …
learning server (FL server). When Byzantine attacks are presented in the system, attacked …
A decentralized federated learning based interoperable and heterogeneity aware predictive optimization method for energy and comfort in smart homes environment
It is a known fact that a comfortable residential space or workspace is crucial to productivity
and well-being. In smart home environments, sensors can be used to sense environment …
and well-being. In smart home environments, sensors can be used to sense environment …
Topology aware deep learning for wireless network optimization
S Zhang, B Yin, W Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Data-driven machine learning approaches have been proposed to facilitate wireless
network optimization by learning latent knowledge from historical optimization instances …
network optimization by learning latent knowledge from historical optimization instances …
[HTML][HTML] Enabling Federated Learning at the Edge through the IOTA Tangle
The proliferation of Internet of Things (IoT) devices, generating massive amounts of
heterogeneous distributed data, has pushed toward edge cloud computing as a promising …
heterogeneous distributed data, has pushed toward edge cloud computing as a promising …
Edge-assisted U-Shaped Split Federated Learning with Privacy-preserving for Internet of Things
H Tang, Z Zhao, D Liu, Y Cao, S Zhang… - arXiv preprint arXiv …, 2023 - arxiv.org
In the realm of the Internet of Things (IoT), deploying deep learning models to process data
generated or collected by IoT devices is a critical challenge. However, direct data …
generated or collected by IoT devices is a critical challenge. However, direct data …
Group-personalized federated learning for human activity recognition through cluster eccentricity analysis
AA Al-Saedi, V Boeva - … Conference on Engineering Applications of Neural …, 2023 - Springer
Abstract Human Activity Recognition (HAR) plays a significant role in recent years due to its
applications in various fields including health care and well-being. Traditional centralized …
applications in various fields including health care and well-being. Traditional centralized …