Zobrazeno 1 - 10
of 221
pro vyhledávání: '"Dongning Guo"'
Autor:
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang, Thomas K. Warburton
Publikováno v:
Frontiers in Big Data, Vol 6 (2023)
Externí odkaz:
https://doaj.org/article/fb1f7518123f425abdb4bab7ccb196f6
Autor:
Allison McCarn Deiana, Nhan Tran, Joshua Agar, Michaela Blott, Giuseppe Di Guglielmo, Javier Duarte, Philip Harris, Scott Hauck, Mia Liu, Mark S. Neubauer, Jennifer Ngadiuba, Seda Ogrenci-Memik, Maurizio Pierini, Thea Aarrestad, Steffen Bähr, Jürgen Becker, Anne-Sophie Berthold, Richard J. Bonventre, Tomás E. Müller Bravo, Markus Diefenthaler, Zhen Dong, Nick Fritzsche, Amir Gholami, Ekaterina Govorkova, Dongning Guo, Kyle J. Hazelwood, Christian Herwig, Babar Khan, Sehoon Kim, Thomas Klijnsma, Yaling Liu, Kin Ho Lo, Tri Nguyen, Gianantonio Pezzullo, Seyedramin Rasoulinezhad, Ryan A. Rivera, Kate Scholberg, Justin Selig, Sougata Sen, Dmitri Strukov, William Tang, Savannah Thais, Kai Lukas Unger, Ricardo Vilalta, Belina von Krosigk, Shen Wang, Thomas K. Warburton
Publikováno v:
Frontiers in Big Data, Vol 5 (2022)
In this community review report, we discuss applications and techniques for fast machine learning (ML) in science—the concept of integrating powerful ML methods into the real-time experimental data processing loop to accelerate scientific discovery
Externí odkaz:
https://doaj.org/article/9e1a26011d554b649834394385e92870
Publikováno v:
Sensors, Vol 22, Iss 17, p 6577 (2022)
The Micro-Electro-Mechanical System (MEMS) gyroscope has been widely used in various fields, but the output of the MEMS gyroscope has strong nonlinearity, especially in the range of tiny angular velocity. This paper proposes an adaptive Fourier serie
Externí odkaz:
https://doaj.org/article/63dc2249f83d4b33aedea37fd74b5d68
Publikováno v:
IEEE Transactions on Information Theory. 69:2364-2384
The fundamental communication problem in the wireless Internet of Things (IoT) is to discover a massive number of devices and to allow them reliable access to shared channels. Oftentimes these devices transmit short messages randomly and sporadically
Publikováno v:
IEEE Transactions on Wireless Communications. 19:7690-7703
In cellular federated edge learning (FEEL), multiple edge devices holding local data jointly train a neural network by communicating learning updates with an access point without exchanging their data samples. With very limited communication resource
Autor:
Randall Berry, Pedro Bustamante, Dongning Guo, Thomas W. Hazlett, Michael Honig, Whitney Lohmeyer, Ilia Murtazashvili, Scott Palo, Martin B. H. Weiss
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
IEEE Journal on Selected Areas in Communications. 37:2759-2771
This paper studies initial beam acquisition in a millimeter wave network consisting of multiple access points (APs) and mobile devices. A training protocol for joint estimation of transmit and receive beams is presented with a general frame structure
Publikováno v:
AFT
Bitcoin is a peer-to-peer electronic cash system invented by Nakamoto in 2008. While it has attracted much research interest, its exact latency and security properties remain open. Existing analyses provide security and latency (or confirmation time)
Publikováno v:
Measurement Science and Technology. 34:027005
In order to improve the north-seeking precision of the micro-electro-mechanical system (MEMS) gyroscope, it is necessary to measure the earth’s rotation angular velocity accurately. The output precision of the MEMS gyroscope is affected by zero bia
Publikováno v:
ACSSC
This paper proposes a novel scheduling policy for federated edge learning, which exploits both diversity in multiuser channels and diversity in the "importance" of the edge devices’ learning updates. A probabilistic scheduling framework is first de