Building Large Models from Small Distributed Models: A Layer Matching Approach. - Xinwei Zhang 001; Bingqing Song; Mehrdad Honarkhah; Jie Ding 002; Mingyi Hong 001 (SAM, 2024)

Compute Engine Testing with Privacy-Compliant Production-Like Synthetic Data. - Yu Liu; Jiangnan Cheng; Steve Chuck; Lyublena Antova; Yurgis Baykshtis; Matt David; Ge Gao; Mehrdad Honarkhah; Kuan-Sung Huang; Chen-Kuei Lee; Usman Muhammad; Shihao Peng; et al. (VLDB Workshops, 2024)

Federated Analytics in Practice: Engineering for Privacy, Scalability and Practicality. - Harish Srinivas; Graham Cormode; Mehrdad Honarkhah; Samuel Lurye; Jonathan Hehir; Lunwen He; George Hong; Ahmed Magdy; Dzmitry Huba; Kaikai Wang; Shen Guo; Shoubhik Bhattacharya (CoRR, 2024)

PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality. - Harish Srinivas; Graham Cormode; Mehrdad Honarkhah; Samuel Lurye; Jonathan Hehir; Lunwen He; George Hong; Ahmed Magdy; Dzmitry Huba; Kaikai Wang; Shen Guo; Shoubhik Bhattacharya (NSDI, 2025)