Work

Simple Privacy-Preserving Federated Learning with Different Encryption Keys

Year: 2024

Type: conference-paper

Source: International Symposium on Information Theory and its Applications

DOI: 10.23919/isita60732.2024.10858227

Authors: Haruto Yokomitsu, Ryo Nojima, Lihua Wang

Institutions: Ritsumeikan University, National Institute of Information and Communications Technology

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

OpenAlex ID: W4407098337

FWCI:

Cites: 10

Cited by:

Related to: 10