Work

REDUS: Adaptive Resampling for Efficient Deep Learning in Centralized and Federated IoT Networks

Year: 2025

Type: conference-paper

Source: International Conference on Communications

DOI: 10.1109/icc52391.2025.11161717

Authors: Eyad Gad, Gad Gad, Mostafa M. Fouda, Mohamed I. Ibrahem, Muhammad Ismail, Zubair Md Fadlullah

Institutions: Western University, Idaho State University, Augusta University, Tennessee Technological University

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funder: Natural Sciences and Engineering Research Council of Canada

Award: Optimizing Beyond Fifth Generation (B5G) Networks

OpenAlex ID: W4414535317

FWCI: 2.118

Cites: 20

Cited by: 2

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