2026
BA-FedSHAP: A reproducible toolkit for auditing background-induced attribution drift
SSRN
Preprint on how the choice of background distribution alters federated attribution results, and what that does to an audit.
PublicationsAuthor
Policy
Federated learning for children's data: encoding trust in education systems
- Année
- 19 mai 2025
- Rôle
- Author
- Venue
- UNICEF Innocenti, Office of Strategy and Evidence
Soutient que les États peuvent exploiter des données éducatives sensibles sans les centraliser, et précise la gouvernance que cela suppose.
Auteurs: Roy Saurabh
Preuves
Sources
Ce que chaque document établit, et où le consulter.
UNICEF Innocenti
Federated learning for children's data: encoding trust in education systems
Article authored by Roy Saurabh and published by UNICEF Innocenti on 19 May 2025, listed among the outputs of the good-governance-of-children's-data project.
UNICEF Innocenti
Good governance of children's data, advisory groups
Names Roy Saurabh among the current expert advisory group members shaping the second phase of UNICEF Innocenti's children's data governance project.
Travaux liés
Travaux liés
2026
BA-FedSHAP, auditing background-induced attribution drift
Measures how much a federated explanation depends on an arbitrary modelling choice.
Research softwareAuthor
2023
The Transformative Potential of Data for Learning
Broadband Commission for Sustainable Development
Rapport du groupe de travail de la Broadband Commission sur la gouvernance des données éducatives, rédigé par l'équipe de l'UNESCO appuyant le groupe.
ReportsWriting team
2022
The Transformative Potential of Data for Learning, interim report
Broadband Commission for Sustainable Development
Preliminary findings of the working group. Roy was on the UNESCO writing team for this edition too.
ReportsWriting team