190 citations · 311 across the 13 of their papers we have counts for
4 papers · 1 filter
Enhancing Efficiency in Multidevice Federated Learning through Data Selection
Fan Mo, Mohammad Malekzadeh, Soumyajit Chatterjee +2
Ubiquitous wearable and mobile devices provide access to a diverse set of data. However, the mobility demand for our devices naturally imposes constraints on their computational an…
Machine Learning with Confidential Computing: A Systematization of Knowledge
Fan Mo, Zahra Tarkhani, Hamed Haddadi
Privacy and security challenges in Machine Learning (ML) have become increasingly severe, along with ML's pervasive development and the recent demonstration of large attack surface…
Private delegated computations using strong isolation
Mathias Brossard, Guilhem Bryant, Basma El Gaabouri +12
Sensitive computations are now routinely delegated to third-parties. In response, Confidential Computing technologies are being introduced to microprocessors, offering a protected…
Towards Battery-Free Machine Learning and Inference in Underwater Environments
Yuchen Zhao, Sayed Saad Afzal, Waleed Akbar +5
This paper is motivated by a simple question: Can we design and build battery-free devices capable of machine learning and inference in underwater environments? An affirmative answ…