957 citations · 957 across the 1 of their papers we have counts for
2 papers
cs.LG2024
PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality
Harish Srinivas, Graham Cormode, Mehrdad Honarkhah +9
Cross-device Federated Analytics (FA) is a distributed computation paradigm designed to answer analytics queries about and derive insights from data held locally on users' devices.…
cs.LG2019★ 957 cited
Towards Federated Learning at Scale: System Design
Keith Bonawitz, Hubert Eichner, Wolfgang Grieskamp +11
Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralized data. We have built a scalable production system for F…