SAMBA: A Generic Framework for Secure Federated Multi-Armed Bandits

DOI10.1613/jair.1.13163OpenAlexW4214486557MaRDI QIDQ5076321

Marta Soare, Pascal Lafourcade, Radu Ciucanu, Gael Marcadet

Publication date: 16 May 2022

Published in: Journal of Artificial Intelligence Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1613/jair.1.13163

zbMATH Keywords

reinforcement learningmachine learningdistributed AI

Mathematics Subject Classification ID

Artificial intelligence (68Txx)

Related Items (1)

SAMBA

Uses Software

• MovieLens

Cites Work

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• Secure best arm identification in multi-armed bandits
• Secure cumulative reward maximization in linear stochastic bandits
• Efficient homomorphic comparison methods with optimal complexity
• The Algorithmic Foundations of Differential Privacy
• Public-Key Cryptosystems Based on Composite Degree Residuosity Classes
• A Tutorial on Thompson Sampling
• Foundations of Cryptography
• Advances and Open Problems in Federated Learning
• Fully homomorphic encryption using ideal lattices

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