Retraction notice: Energy efficient multi-tasking for edge computing using federated learning

doi:10.1108/ijpcc-04-2024-0135

JOURNAL ARTICLE

Retraction notice: Energy efficient multi-tasking for edge computing using federated learning

Year: 2024 Journal: International Journal of Pervasive Computing and Communications Vol: 20 (3)Pages: 366-366 Publisher: Emerald Publishing Limited

DOI: 10.1108/ijpcc-04-2024-0135

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Notice Edge computing Enhanced Data Rates for GSM Evolution World Wide Web Distributed computing Human–computer interaction Artificial intelligence

Metrics

Cited By

0.00

FWCI (Field Weighted Citation Impact)

Refs

0.07

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Topics

Brain Tumor Detection and Classification

Life Sciences → Neuroscience → Neurology

Machine Learning and ELM

Physical Sciences → Computer Science → Artificial Intelligence

Stochastic Gradient Optimization Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Retraction notice: Energy efficient multi-tasking for edge computing using federated learning

Metrics

Topics

Related Documents

Energy efficient multi-tasking for edge computing using federated learning

Retraction Notice Communication-Efficient Personalized Federated Meta-Learning in Edge Networks

Efficient Multi-Task Asynchronous Federated Learning in Edge Computing

Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing

FedOrbit: Energy Efficient Federated Learning for Orbital Edge Computing Using Block Minifloat Arithmetic