Work

BlockFLA

Year: 2021

Type: conference-paper

Abstract: Federated Learning (FL) is a distributed, and decentralized machine learning protocol. By executing FL, a set of agents can jointly train a model without sharing their datasets with each other, or a third-party. This makes FL particularly suitable for settings where data privacy is desired.

Source: ACM Conference on Data and Application Security and Privacy (CODASPY)

DOI: 10.1145/3422337.3447837

Authors: Harsh Bimal Desai, Mustafa Safa Ozdayi, Murat Kantarcioglu

Institution: The University of Texas at Dallas

Language: English

Topic: Privacy-Preserving Technologies in Data

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W3156284706

FWCI: 7.026

Cites: 32

Cited by: 87

Related to: 10