Federated learning: A useful privacy-enhancing technique?

Research output: Contribution to specialist/vulgarizing publication › Article › Specialist

Abstract

Federated learning is a machine learning and data science technique used to train algorithms without centralised data collection.

Original language	English
Pages	30-31
Number of pages	2
Volume	June 2021
No.	171
Specialist publication	Privacy Laws & Business: International Reports
Publication status	Published - 18 Jun 2021

@misc{a51be2e4e9bf45bb9f3a08a3f4aaa760,

title = "Federated learning: A useful privacy-enhancing technique?",

abstract = "Federated learning is a machine learning and data science technique used to train algorithms without centralised data collection.",

author = "Alessandra Calvi and Gianclaudio Malgieri",

year = "2021",

month = jun,

day = "18",

language = "English",

volume = "June 2021",

pages = "30--31",