Work

Federated Objective: Assessing Client Truthfulness in Federated Learning

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Big Data (BigData)

DOI: 10.1109/bigdata62323.2024.10825652

Authors: Marco Garofalo, Alessio Catalfamo, Mario Colosi, Massimo Villari

Institution: University of Messina

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funder: HORIZON EUROPE Health

OpenAlex ID: W4406458425

FWCI: 0.587

Cites: 25

Cited by: 2

Related to: 10