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Model-Agnostic Federated Learning


Mar 08, 2023
Gianluca Mittone, Walter Riviera, Iacopo Colonnelli, Robert Birke, Marco Aldinucci

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Experimenting with Emerging ARM and RISC-V Systems for Decentralised Machine Learning


Feb 15, 2023
Gianluca Mittone, Nicolò Tonci, Robert Birke, Iacopo Colonnelli, Doriana Medić, Andrea Bartolini, Roberto Esposito, Emanuele Parisi, Francesco Beneventi, Mirko Polato, Massimo Torquati, Luca Benini, Marco Aldinucci

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Permutation-Invariant Tabular Data Synthesis


Nov 17, 2022
Yujin Zhu, Zilong Zhao, Robert Birke, Lydia Y. Chen

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* Paper is accepted in 2022 IEEE International Conference Big Data in Special Session Privacy and Security of Big Data (PSBD) 

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FCT-GAN: Enhancing Table Synthesis via Fourier Transform


Oct 12, 2022
Zilong Zhao, Robert Birke, Lydia Y. Chen

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CTAB-GAN+: Enhancing Tabular Data Synthesis


Apr 01, 2022
Zilong Zhao, Aditya Kunar, Robert Birke, Lydia Y. Chen

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* arXiv admin note: substantial text overlap with arXiv:2102.08369, arXiv:2108.10064 

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Fed-TGAN: Federated Learning Framework for Synthesizing Tabular Data


Aug 18, 2021
Zilong Zhao, Robert Birke, Aditya Kunar, Lydia Y. Chen

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Multi-Label Gold Asymmetric Loss Correction with Single-Label Regulators


Aug 04, 2021
Cosmin Octavian Pene, Amirmasoud Ghiassi, Taraneh Younesian, Robert Birke, Lydia Y. Chen

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DTGAN: Differential Private Training for Tabular GANs


Aug 02, 2021
Aditya Kunar, Robert Birke, Zilong Zhao, Lydia Chen

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* 16 pages, 4 figures and 5 tables, submitted to the ACML 2021 conference 

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