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Related publications (11)
Scalable and Privacy-Preserving Federated Principal Component Analysis
Jean-Pierre Hubaux, Juan Ramón Troncoso-Pastoriza, Jean-Philippe Léonard Bossuat, Apostolos Pyrgelis, David Jules Froelicher, Joao André Gomes de Sá e Sousa
Principal component analysis (PCA) is an essential algorithm for dimensionality reduction in many data science domains. We address the problem of performing a federated PCA on private data distributed among multiple data providers while ensuring data confi ...
IEEE COMPUTER SOC2023Locomotion of Sensor‐Integrated Soft Robotic Devices Inside Sub‐Millimeter Arteries with Impaired Flow Conditions
Diego Ghezzi, Mahmut Selman Sakar, Lorenzo Francesco John Noseda, Amit Yedidia Dolev, Adele Fanelli
One of the grand challenges in interventional cardiology and neuroradiology is to minimize the operation time and risk of damage during catheterization. These two factors drastically increase if the target location resides in small and tortuous vessels. Fl ...
Wiley2022Pythia: Remote Oracles for the Masses
Mathias Josef Payer, Yuqing Zhang
Remote Direct Memory Access (RDMA) is a technology that allows direct access from the network to a machine's main memory without involving its CPU. RDMA offers low-latency, high-bandwidth performance and low CPU utilization. While RDMA provides massive per ...
USENIX ASSOC2019Deferred-update database replication
This thesis is about the design of high-performance fault-tolerant computer systems. More specifically, it focuses on how to develop database systems that behave correctly and with good performance even in the event of failures. Both performance and depend ...
EPFL2008