1 citations · 1 across the 4 of their papers we have counts for
4 papers
Personal Attribute Leakage in Federated Speech Models
Hamdan Al-Ali, Ali Reza Ghavamipour, Tommaso Caselli +3
Federated learning is a common method for privacy-preserving training of machine learning models. In this paper, we analyze the vulnerability of ASR models to attribute inference a…
Privacy-Preserving, Dropout-Resilient Aggregation in Decentralized Learning
Ali Reza Ghavamipour, Benjamin Zi Hao Zhao, Fatih Turkmen
Decentralized learning (DL) offers a novel paradigm in machine learning by distributing training across clients without central aggregation, enhancing scalability and efficiency. H…
Privacy-Preserving Aggregation for Decentralized Learning with Byzantine-Robustness
Ali Reza Ghavamipour, Benjamin Zi Hao Zhao, Oguzhan Ersoy +1
Decentralized machine learning (DL) has been receiving an increasing interest recently due to the elimination of a single point of failure, present in Federated learning setting. Y…
Privacy-preserving Logistic Regression with Secret Sharing
Ali Reza Ghavamipour, Fatih Turkmen, Xiaoqian Jian
Logistic regression (LR) is a widely used classification method for modeling binary outcomes in many medical data classification tasks. Research that collects and combines datasets…