Zobrazeno 1 - 10
of 832
pro vyhledávání: '"Pan Miao"'
Autor:
FENG Jun, LIU Mingxiang, ZHUANG Yuan, PAN Miao, LIU Qian, CHEN Yong, LUO Jiayuan, FEI Jiayi, WU Yitong, ZHU Yanqi, ZHANG Jing, CHEN Min
Publikováno v:
Shanghai yufang yixue, Vol 36, Iss 3, Pp 217-223 (2024)
ObjectiveTo provide technical support for the molecular surveillance of pathogenic bacteria strains carrying mobile colistin resistance-1 (mcr⁃1) gene isolate from inlet of wastewater treatment plants (WWTP).MethodsThe Enterobacteriaceae st
Externí odkaz:
https://doaj.org/article/32110b588c254ca0b48c72bf21ca42ef
Publikováno v:
Shanghai yufang yixue, Vol 34, Iss 11, Pp 1123-1128 (2022)
ObjectiveTo determine the distribution of various antibiotic resistance genes (ARGs) in raw water from drinking water source, and to explore the correlation between the ARGs and common carbapenem-resistant and multidrug-resistant bacteria isola
Externí odkaz:
https://doaj.org/article/58e2205496174e4f96c35e9bf70c3ec5
This paper addresses a distributed leader-follower formation control problem for a group of agents, each using a body-fixed camera with a limited field of view (FOV) for state estimation. The main challenge arises from the need to coordinate the agen
Externí odkaz:
http://arxiv.org/abs/2409.11394
Training latency is critical for the success of numerous intrigued applications ignited by federated learning (FL) over heterogeneous mobile devices. By revolutionarily overlapping local gradient transmission with continuous local computing, FL can r
Externí odkaz:
http://arxiv.org/abs/2407.00943
Autor:
Su, Huai-an, Geng, Jiaxiang, Li, Liang, Qin, Xiaoqi, Hou, Yanzhao, Wang, Hao, Fu, Xin, Pan, Miao
As a popular distributed learning paradigm, federated learning (FL) over mobile devices fosters numerous applications, while their practical deployment is hindered by participating devices' computing and communication heterogeneity. Some pioneering r
Externí odkaz:
http://arxiv.org/abs/2405.00885
Autor:
Shin‐ichiro Horigane, Yukihiro Ozawa, Jun Zhang, Hiroe Todoroki, Pan Miao, Asahi Haijima, Yuchio Yanagawa, Shuhei Ueda, Shigeo Nakamura, Masaki Kakeyama, Sayaka Takemoto‐Kimura
Publikováno v:
FEBS Open Bio, Vol 10, Iss 8, Pp 1436-1446 (2020)
Multiple genetic factors related to autism spectrum disorder (ASD) have been identified, but the biological mechanisms remain obscure. Timothy syndrome (TS), associated with syndromic ASD, is caused by a gain‐of‐function mutation, G406R, in the p
Externí odkaz:
https://doaj.org/article/8a4818c11bb34e5a8d4cfa3e5c7b552a
While quantum computing has strong potential in data-driven fields, the privacy issue of sensitive or valuable information involved in the quantum algorithm should be considered. Differential privacy (DP), which is a fundamental privacy tool widely u
Externí odkaz:
http://arxiv.org/abs/2403.09173
We study federated unlearning, a novel problem to eliminate the impact of specific clients or data points on the global model learned via federated learning (FL). This problem is driven by the right to be forgotten and the privacy challenges in FL. W
Externí odkaz:
http://arxiv.org/abs/2401.11018
Quantum computing is a promising paradigm for efficiently solving large and high-complexity problems. To protect quantum computing privacy, pioneering research efforts proposed to redefine differential privacy (DP) in quantum computing, i.e., quantum
Externí odkaz:
http://arxiv.org/abs/2312.14521
Quantum computing revolutionizes the way of solving complex problems and handling vast datasets, which shows great potential to accelerate the machine learning process. However, data leakage in quantum machine learning (QML) may present privacy risks
Externí odkaz:
http://arxiv.org/abs/2312.11126