Zobrazeno 1 - 10
of 117
pro vyhledávání: '"Qian Yuwen"'
Federated self-supervised learning (FSSL) has recently emerged as a promising paradigm that enables the exploitation of clients' vast amounts of unlabeled data while preserving data privacy. While FSSL offers advantages, its susceptibility to backdoo
Externí odkaz:
http://arxiv.org/abs/2405.13080
This paper introduces RDA, a pioneering approach designed to address two primary deficiencies prevalent in previous endeavors aiming at stealing pre-trained encoders: (1) suboptimal performances attributed to biased optimization objectives, and (2) e
Externí odkaz:
http://arxiv.org/abs/2312.00855
As an essential component part of the Intelligent Transportation System (ITS), the Internet of Vehicles (IoV) plays a vital role in alleviating traffic issues. Object detection is one of the key technologies in the IoV, which has been widely used to
Externí odkaz:
http://arxiv.org/abs/2309.03569
In the era of 5G mobile communication, there has been a significant surge in research focused on unmanned aerial vehicles (UAVs) and mobile edge computing technology. UAVs can serve as intelligent servers in edge computing environments, optimizing th
Externí odkaz:
http://arxiv.org/abs/2309.02193
Autor:
QIAN YuWen, ZHAO JianPing
Publikováno v:
Jixie qiangdu, Vol 37, Pp 133-138 (2015)
Simulate and analyze the multi-pass welds in under-matched welded joint between CF62 and 316 L stainless steel with element birth and death technology by 3D finite element method. Design the under-matched welded joint based on equal-load theory. Foun
Externí odkaz:
https://doaj.org/article/945ad0e00f5c42389525a81b4d56134a
Hierarchical Federated Learning (HFL) is a distributed machine learning paradigm tailored for multi-tiered computation architectures, which supports massive access of devices' models simultaneously. To enable efficient HFL, it is crucial to design su
Externí odkaz:
http://arxiv.org/abs/2304.04162
Autor:
Xu, Zongyu, Zhang, Yihao, Yuan, Long, Qian, Yuwen, Chen, Zi, Zhou, Mingliang, Mao, Qin, Pan, Weibin
Community search over bipartite graphs has attracted significant interest recently. In many applications such as user-item bipartite graph in E-commerce, customer-movie bipartite graph in movie rating website, nodes tend to have attributes, while pre
Externí odkaz:
http://arxiv.org/abs/2302.14498
Website fingerprinting attack is an extensively studied technique used in a web browser to analyze traffic patterns and thus infer confidential information about users. Several website fingerprinting attacks based on machine learning and deep learnin
Externí odkaz:
http://arxiv.org/abs/2302.13763
For UAV-aided wireless systems, online path planning attracts much attention recently. To better adapt to the real-time dynamic environment, we, for the first time, propose a Monte Carlo Tree Search (MCTS)-based path planning scheme. In details, we c
Externí odkaz:
http://arxiv.org/abs/2202.02457
Autor:
Chu, Shunfeng, Li, Jun, Wang, Jianxin, Wang, Zhe, Ding, Ming, Zang, Yijin, Qian, Yuwen, Chen, Wen
With the development of federated learning (FL), mobile devices (MDs) are able to train their local models with private data and sends them to a central server for aggregation, thereby preventing sensitive raw data leakage. In this paper, we aim to i
Externí odkaz:
http://arxiv.org/abs/2106.06934