Distributed Ridge Regression with Feature Partitioning. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (ACSSC, 2018)

Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (ICASSP, 2019)

Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. - François Gauthier 002; Cristiano Gratton; Naveen K. D. Venkategowda; Stefan Werner 001 (ACSSC, 2020)

Distributed Learning with Non-Smooth Objective Functions. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (EUSIPCO, 2020)

Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (EUSIPCO, 2021)

Privacy-Preserved Distributed Learning With Zeroth-Order Optimization. - Cristiano Gratton; Naveen K. D. Venkategowda; Reza Arablouei; Stefan Werner 001 (IEEE Trans. Inf. Forensics Secur., 2022)

Privacy-preserving distributed machine learning for artificial intelligence of things. - Cristiano Gratton (2023)