WebBita Darvish Rouhani · Daniel Lo · Ritchie Zhao · Ming Liu · Jeremy Fowers · Kalin Ovtcharov · Anna Vinogradsky · Sarah Massengill · Lita Yang · Ray Bittner · Alessandro Forin · Haishan Zhu · Taesik Na · Prerak Patel · Shuai Che · Lok Chand Koppaka · XIA SONG · Subhojit Som · Kaustav Das · Saurabh K T · Steve Reinhardt · Sitaram Lanka · … WebBita Darvish Rouhani (Microsoft) Successful Page Load. Do not remove: This comment is monitored to verify that the site is working properly. Do not remove: This comment is monitored to verify that the site is working properly. MLSys uses cookies to remember that you are logged in. By using our websites, you agree to the placement of these cookies.
Azalia Mirhoseini - Google Scholar
Webat Cloud Scale with Microsoft Floating Point Bita Rouhani Microsoft Daniel Lo Microsoft Ritchie Zhao Microsoft Ming Liu Microsoft Jeremy Fowers Microsoft Kalin Ovtcharov … higher haryana
Bita Darvish Rouhani posted on LinkedIn
WebBita Rouhani is a last year Ph.D. candidate at University of California San Diego with an expected degree in Electrical and Computer Engineering. Bita has received her master degree in Computer Engineering from Rice University. She is a recipient of Microsoft Ph.D. Fellowship. Her research interests include reconfigurable computing distributed ... WebMay 24, 2024 · Bita Darvish Rouhani, M. Sadegh Riazi, Farinaz Koushanfar. This paper proposes DeepSecure, a novel framework that enables scalable execution of the state-of-the-art Deep Learning (DL) models in a privacy-preserving setting. DeepSecure targets scenarios in which neither of the involved parties including the cloud servers that hold the … WebBita Darvish Rouhani Microsoft Research Farinaz Koushanfar UC San Diego Abstract Training large and highly accurate deep learning (DL) models is computationally costly. This cost is in great part due to the excessive number of trained parameters, which are well-known to be redundant and compressible for the execution phase. higher hacknell ltd