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Graham Cormode — most-cited papers & profile · Federated Learning
← authors
·
overview
Graham Cormode
15
papers ·
25
citations ·
61
h-index
University of Warwick
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Sample and Threshold Differential Privacy: Histograms and applications
2021 · 7 citations
Federated Boosted Decision Trees with Differential Privacy
2022 · 5 citations
Reconciling Security and Communication Efficiency in Federated Learning
2022 · 4 citations
Bit-efficient Numerical Aggregation and Stronger Privacy for Trust in Federated Analytics
2021 · 1 citations
Federated Calibration and Evaluation of Binary Classifiers
2022 · 1 citations
Federated Experiment Design under Distributed Differential Privacy
2023 · 1 citations
FedPS: Federated data Preprocessing via aggregated Statistics
2026
Private Federated Multiclass Post-hoc Calibration
2025
Federated Computation of ROC and PR Curves
2025
Power Transform Revisited: Numerically Stable, and Federated
2025
PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality
2024
FLAIM: AIM-based Synthetic Data Generation in the Federated Setting
2023
Towards Robust Federated Analytics via Differentially Private Measurements of Statistical Heterogeneity
2024
Distributed, communication-efficient, and differentially private estimation of KL divergence
2024
Top co-authors
Carsten Maple
· 5
Samuel Maddock
· 3
Akash Bharadwaj
· 2
Igor L. Markov
· 2
Mary Scott
· 2
Ahmed Magdy
· 1
Ashkan Yousefpour
· 1
Ayfer Özgür
· 1
Dzmitry Huba
· 1
George Hong
· 1
Harish Srinivas
· 1
Ilya Mironov
· 1
Topics
Federated Learning
Privacy
Data Heterogeneity
Communication
Security
Optimization