DeepReduce: A Sparse-tensor Communication Framework for Federated Deep Learning. - Hang Xu; Kelly Kostopoulou; Aritra Dutta; Xin Li 022; Alexandros Ntoulas; Panos Kalnis (NeurIPS, 2021)

DeepReduce: A Sparse-tensor Communication Framework for Distributed Deep Learning. - Kelly Kostopoulou; Hang Xu; Aritra Dutta; Xin Li 022; Alexandros Ntoulas; Panos Kalnis (CoRR, 2021)

Packing Privacy Budget Efficiently. - Pierre Tholoniat; Kelly Kostopoulou; Mosharaf Chowdhury; Asaf Cidon; Roxana Geambasu; Mathias Lécuyer; Junfeng Yang (CoRR, 2022)

Turbo: Effective Caching in Differentially-Private Databases. - Kelly Kostopoulou; Pierre Tholoniat; Asaf Cidon; Roxana Geambasu; Mathias Lécuyer (SOSP, 2023)

Boost: Effective Caching in Differentially-Private Databases. - Kelly Kostopoulou; Pierre Tholoniat; Asaf Cidon; Roxana Geambasu; Mathias Lécuyer (CoRR, 2023)

Cookie Monster: Efficient On-Device Budgeting for Differentially-Private Ad-Measurement Systems. - Pierre Tholoniat; Kelly Kostopoulou; Peter McNeely; Prabhpreet Singh Sodhi; Anirudh Varanasi; Benjamin Case; Asaf Cidon; Roxana Geambasu; Mathias Lécuyer (SOSP, 2024)

Alistair: Efficient On-device Budgeting for Differentially-Private Ad-Measurement Systems. - Pierre Tholoniat; Kelly Kostopoulou; Peter McNeely; Prabhpreet Singh Sodhi; Anirudh Varanasi; Benjamin Case; Asaf Cidon; Roxana Geambasu; Mathias Lécuyer (CoRR, 2024)

Recursive Function Definitions in Static Dataflow Graphs and their Implementation in TensorFlow. - Kelly Kostopoulou; Angelos Charalambidis; Panos Rondogiannis (CoRR, 2024)

DPack: Efficiency-Oriented Privacy Budget Scheduling. - Pierre Tholoniat; Kelly Kostopoulou; Mosharaf Chowdhury; Asaf Cidon; Roxana Geambasu; Mathias Lécuyer; Junfeng Yang (EuroSys, 2025)