Zobrazeno 1 - 10
of 885
pro vyhledávání: '"Ouyang,Tao"'
Collaborative Edge Computing (CEC) is an emerging paradigm that collaborates heterogeneous edge devices as a resource pool to compute DNN inference tasks in proximity such as edge video analytics. Nevertheless, as the key knob to improve network util
Externí odkaz:
http://arxiv.org/abs/2406.19613
Going beyond the bistability paradigm of the charge polarizations in ferroelectrics is highly desired for ferroelectric memory devices toward ultra-high density information storage. Here, we propose to build multistates in composite ferroelectrics, w
Externí odkaz:
http://arxiv.org/abs/2403.11813
Doping induced multiferroicity and quantum anomalous Hall effect in $\alpha$-In$_2$Se$_3$ thin films
Autor:
Tian, Zhiqiang, Li, Jin-Yang, Ouyang, Tao, Liu, Chao-Fei, Liu, Ziran, Li, Si, Pan, Anlian, Chen, Mingxing
Publikováno v:
Appl. Phys. Lett. 124, 043101 (2024)
In flat-band materials, the strong Coulomb interaction between electrons can lead to exotic physical phenomena. Recently, $\alpha$-In$_2$Se$_3$ thin films were found to possess ferroelectricity and flat bands. In this work, using first-principles cal
Externí odkaz:
http://arxiv.org/abs/2402.09770
Serverless computing has gained popularity in edge computing due to its flexible features, including the pay-per-use pricing model, auto-scaling capabilities, and multi-tenancy support. Complex Serverless-based applications typically rely on Serverle
Externí odkaz:
http://arxiv.org/abs/2308.16517
Ferroelectricity has a wide range of applications in functional electronics and is extremely important for the development of next-generation information storage technology, but it is difficult to achieve due to its special symmetry requirements. In
Externí odkaz:
http://arxiv.org/abs/2307.11267
Federated learning (FL) is a promising paradigm that enables collaboratively learning a shared model across massive clients while keeping the training data locally. However, for many existing FL systems, clients need to frequently exchange model para
Externí odkaz:
http://arxiv.org/abs/2301.06447
A new set of lattice-models based on the hexagonal $\sqrt{N}\times\sqrt{N}$ super-cells of the well-known honeycomb lattice with single-hole defect (HL-D-1/2N) are proposed to realize the nontrivial isolated flat-bands. Through performing both tight-
Externí odkaz:
http://arxiv.org/abs/2208.06065
Federated learning (FL) is a promising distributed framework for collaborative artificial intelligence model training while protecting user privacy. A bootstrapping component that has attracted significant research attention is the design of incentiv
Externí odkaz:
http://arxiv.org/abs/2207.12030
Autor:
Zhou, Mengshi, Fu, Zhentao, Li, Jin, Zhang, Chunxiao, He, Chaoyu, Ouyang, Tao, Tang, Chao, Zhong, Jianxin
Publikováno v:
In Physica E: Low-dimensional Systems and Nanostructures February 2025 167
Autor:
Su, Laiyuan, Li, Shifang, Li, Jin, He, Chaoyu, Zeng, Xu-Tao, Sheng, Xian-Lei, Ouyang, Tao, Zhang, Chunxiao, Zhong, Chao Tangand Jianxin
Topological semimetals (TSMs) have attracted numerous attention due to their exotic physical properties and great application potentials. Silicon-based TMSs are of particularly importance because of their high abundance, nontoxicity and natural compa
Externí odkaz:
http://arxiv.org/abs/2202.10604