Work

Evaluating Federated Learning Scenarios: Impact of Basic Parameters and Realistic Communication in Testbeds

Year: 2025

Type: conference-paper

Abstract: This paper evaluates Federated Learning in different scenarios to identify differences between simulations and hardware. The scenarios include the MENTORED Testbed with x86 nodes, an experimental cluster with aarch64 architectures, and a server simulating FL using Docker.

DOI: 10.5753/eradrs.2025.6837

Authors: Bruno H. Meyer, Aurora Pozo, Michele Nogueira, Wagner M. Nunan Zola

Institutions: Universidade Federal do Paraná, Universidade Federal de Minas Gerais

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4411169803

FWCI: 1.059

Cites: 3

Cited by: 1

Related to: 10