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2020 – today
- 2023
[b1]Cristiano Gratton:
Privacy-preserving distributed machine learning for artificial intelligence of things. Norwegian University of Science and Technology, Trondheim, Norway, 2023- 2022
- [j1]Cristiano Gratton
, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Privacy-Preserved Distributed Learning With Zeroth-Order Optimization. IEEE Trans. Inf. Forensics Secur. 17: 265-279 (2022) - 2021
- [c5]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Learning over Networks with Non-Smooth Regularizers and Feature Partitioning. EUSIPCO 2021: 1840-1844 - 2020
- [c4]François Gauthier, Cristiano Gratton, Naveen K. D. Venkategowda, Stefan Werner:
Privacy-Preserving Distributed Learning with Nonsmooth Objective Functions. ACSSC 2020: 42-46 - [c3]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Learning with Non-Smooth Objective Functions. EUSIPCO 2020: 2180-2184
2010 – 2019
- 2019
- [c2]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Consensus-based Distributed Total Least-squares Estimation Using Parametric Semidefinite Programming. ICASSP 2019: 5227-5231 - 2018
- [c1]Cristiano Gratton, Naveen K. D. Venkategowda, Reza Arablouei, Stefan Werner:
Distributed Ridge Regression with Feature Partitioning. ACSSC 2018: 1423-1427
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