Zobrazeno 1 - 10
of 39
pro vyhledávání: '"Azalia, Mirhoseini"'
Autor:
Thien Duc Nguyen, Phillip Rieger, Huili Chen, Hossein Yalame, Helen Möllering, Hossein Fereidooni, Samuel Marchal, Markus Miettinen, Azalia Mirhoseini, Shaza Zeitouni, Farinaz Koushanfar, Ahmad Reza Sadeghi, Thomas Schneider
Publikováno v:
Aalto University
Federated Learning (FL) is a collaborative machine learning approach allowing participants to jointly train a model without having to share their private, potentially sensitive local datasets with others. Despite its benefits, FL is vulnerable to so-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890e78cac65781f885e74fa329c0c0e5
https://zenodo.org/record/7867931
https://zenodo.org/record/7867931
Autor:
Jeffrey Dean, Richard Ho, William Hang, Roger Carpenter, Omkar Pathak, James Laudon, Kavya Srinivasa, Andy Tong, Ebrahim M. Songhori, Quoc V. Le, Joe Wenjie Jiang, Azade Nazi, Anna Goldie, Shen Wang, Azalia Mirhoseini, Young-Joon Lee, Eric Johnson, Jiwoo Pak, Emre Tuncer, Mustafa Yazgan
Publikováno v:
Nature. 594:207-212
Chip floorplanning is the engineering task of designing the physical layout of a computer chip. Despite five decades of research1, chip floorplanning has defied automation, requiring months of intense effort by physical design engineers to produce ma
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::07f9ab9db4fbd3fe0eba364edde2c0dd
https://doi.org/10.1038/s41586-021-03544-w
https://doi.org/10.1038/s41586-021-03544-w
Autor:
Summer Yue, Ebrahim M. Songhori, Joe Wenjie Jiang, Toby Boyd, Anna Goldie, Azalia Mirhoseini, Sergio Guadarrama
Publikováno v:
Proceedings of the 2022 International Symposium on Physical Design.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::530b9963375a9c9dcf4b7c53e6800eb2
https://doi.org/10.1145/3505170.3511478
https://doi.org/10.1145/3505170.3511478
Publikováno v:
2022 Design, Automation & Test in Europe Conference & Exhibition (DATE).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1e8794b6f8651532cca4cc13bdc15f7
https://doi.org/10.23919/date54114.2022.9774607
https://doi.org/10.23919/date54114.2022.9774607
Autor:
Azalia Mirhoseini, Peter Ma, Daniel Lin-Kit Wong, Yanqi Zhou, James Laudon, Qiumin Xu, AmirAli Abdolrashidi, Sudip Roy
Publikováno v:
IEEE Micro. 40:26-36
With increasingly complex neural network architectures and heterogeneous device characteristics, finding a reasonable graph partitioning and device placement strategy is challenging. There have been prior attempts at learned approaches for solving de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9fa6c03c581b038b0816027214c09cbc
https://doi.org/10.1109/mm.2020.3015188
https://doi.org/10.1109/mm.2020.3015188
Publikováno v:
2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e31e9d55c373d37dc712109b9a30390f
https://doi.org/10.1109/asp-dac52403.2022.9712578
https://doi.org/10.1109/asp-dac52403.2022.9712578
Autor:
Anna Goldie, Azalia Mirhoseini
Publikováno v:
Machine Learning Applications in Electronic Design Automation ISBN: 9783031130731
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cdd5d5b2157433f67760d8ddda1a9b2e
https://doi.org/10.1007/978-3-031-13074-8_8
https://doi.org/10.1007/978-3-031-13074-8_8
Autor:
Anna Goldie, Ebrahim M. Songhori, Young-Joon Lee, David Z. Pan, Zixuan Jiang, Joe Jiang, Azalia Mirhoseini, Shen Wang
Publikováno v:
MLCAD
In physical design, human designers typically place macros via trial and error, which is a Markov decision process. Reinforcement learning (RL) methods have demonstrated superhuman performance on the macro placement. In this paper, we propose an exte
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7b4cf17087fd7900b65944d59621d5bc
http://arxiv.org/abs/2109.02587
http://arxiv.org/abs/2109.02587
Autor:
Samuel Marchal, Phillip Rieger, Azalia Mirhoseini, Shaza Zeitouni, Markus Miettinen, Helen Möllering, Hossein Yalame, Hossein Fereidooni, Thomas Schneider, Ahmad-Reza Sadeghi, Thien Duc Nguyen
Publikováno v:
SP Workshops
2021 IEEE Security and Privacy Workshops (SPW)
2021 IEEE Security and Privacy Workshops (SPW)
openaire: EC/H2020/786641/EU//SHERPA Funding Information: Acknowledgements. This project received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation program (grant agreement No. 850990 P
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7eee1b2ee7c7672befee05738736e812
https://doi.org/10.1109/spw53761.2021.00017
https://doi.org/10.1109/spw53761.2021.00017
Autor:
Anna Goldie, Azalia Mirhoseini
Publikováno v:
ISPD
In the past decade, computer systems and chips have played a key role in the success of artificial intelligence (AI). Our vision in Google Brain's Machine Learning for Systems team is to use AI to transform the way in which computer systems and chips
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ef2c5ba346d61fdbc58e1f31c84c7f74
https://doi.org/10.1145/3439706.3446883
https://doi.org/10.1145/3439706.3446883