Year
2024
Private Intelligence relation
DIRECT
Link
https://scholar.google.com/citations?view_op=view_citation&hl=en&user=E-kZZeQAAAAJ&cstart=20&pagesize=80&citation_for_view=E-kZZeQAAAAJ:bFI3QPDXJZMC
Conference/Journal
Federated Learning, 299-309
Author(s) from Distilled Foundation
TN Hoang
How the work relates to Private Intelligence
A book chapter discussing incentive schemes that encourage clients to participate in federated learning and contribute more valuable data: collecting and processing data, computing and communicating model updates, risking the privacy of data via shared model updates.
Gained Experience