12 citations · 25 across the 16 of their papers we have counts for
4 papers · 1 filter
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.…
Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity
Mary Scott, Graham Cormode, Carsten Maple
Statistical heterogeneity is a measure of how skewed the samples of a dataset are. It is a common problem in the study of differential privacy that the usage of a statistically het…
Federated and differentially private estimation of KL divergence
Sayan Biswas, Graham Cormode, Carsten Maple +1
Measuring distribution drifts is a key task in managing distributed, sensitive data, as it underpins a wide range of federated learning and analytics applications. In many practica…
Privacy-preserving Fuzzy Name Matching for Sharing Financial Intelligence
Harsh Kasyap, Ugur Ilker Atmaca, Carsten Maple +2
Financial institutions rely on data for many operations, including a need to drive efficiency, enhance services and prevent financial crime. Data sharing across an organisation or…