Zobrazeno 1 - 10
of 533
pro vyhledávání: '"Xu, Mingwei"'
Publikováno v:
Proceedings 2024 Network and Distributed System Security Symposium (2024)
The escalating focus on data privacy poses significant challenges for collaborative neural network training, where data ownership and model training/deployment responsibilities reside with distinct entities. Our community has made substantial contrib
Externí odkaz:
http://arxiv.org/abs/2403.11166
The emerging programmable networks sparked significant research on Intelligent Network Data Plane (INDP), which achieves learning-based traffic analysis at line-speed. Prior art in INDP focus on deploying tree/forest models on the data plane. We obse
Externí odkaz:
http://arxiv.org/abs/2403.11090
Autor:
Chen, Yihao, Yin, Qilei, Li, Qi, Liu, Zhuotao, Xu, Ke, Xu, Yi, Xu, Mingwei, Liu, Ziqian, Wu, Jianping
BGP is the de facto inter-domain routing protocol to ensure global connectivity of the Internet. However, various reasons, such as deliberate attacks or misconfigurations, could cause BGP routing anomalies. Traditional methods for BGP routing anomaly
Externí odkaz:
http://arxiv.org/abs/2402.16025
Federated Learning (FL) typically aggregates client model parameters using a weighting approach determined by sample proportions. However, this naive weighting method may lead to unfairness and degradation in model performance due to statistical hete
Externí odkaz:
http://arxiv.org/abs/2311.05936
Real-time communication applications require consistently low latency, which is often disrupted by latency spikes caused by competing flows, especially Web traffic. We identify the root cause of disruptions in such cases as the mismatch between the a
Externí odkaz:
http://arxiv.org/abs/2310.18030
Autor:
Wang, Zhehui, Leong, Andrew F. T., Dragone, Angelo, Gleason, Arianna E., Ballabriga, Rafael, Campbell, Christopher, Campbell, Michael, Clark, Samuel J., Da Vià, Cinzia, Dattelbaum, Dana M., Demarteau, Marcel, Fabris, Lorenzo, Fezzaa, Kamel, Fossum, Eric R., Gruner, Sol M., Hufnagel, Todd, Ju, Xiaolu, Li, Ke, Llopart, Xavier, Lukić, Bratislav, Rack, Alexander, Strehlow, Joseph, Therrien, Audrey C., Thom-Levy, Julia, Wang, Feixiang, Xiao, Tiqiao, Xu, Mingwei, Yue, Xin
Publikováno v:
Nuclear Inst. and Methods in Physics Research, A 1057 (2023) 168690
Ultrafast radiographic imaging and tracking (U-RadIT) use state-of-the-art ionizing particle and light sources to experimentally study sub-nanosecond dynamic processes in physics, chemistry, biology, geology, materials science and other fields. These
Externí odkaz:
http://arxiv.org/abs/2308.10643
Publikováno v:
IEEE/ACM Transactions on Networking 2023
Robust network design, which aims to guarantee network availability under various failure scenarios while optimizing performance/cost objectives, has received significant attention. Existing approaches often rely on model-based mixed-integer optimiza
Externí odkaz:
http://arxiv.org/abs/2305.19153
The Magnetic Sail is a space propulsion system that utilizes the interaction between solar wind particles and an artificial dipole magnetic field generated by a spacecraft's coil to produce thrust without the need for additional plasma or propellant.
Externí odkaz:
http://arxiv.org/abs/2305.04212
Inferring the parameters of ordinary differential equations (ODEs) from noisy observations is an important problem in many scientific fields. Currently, most parameter estimation methods that bypass numerical integration tend to rely on basis functio
Externí odkaz:
http://arxiv.org/abs/2304.02127
Autor:
Chen, Kui, Chen, Yumei, Xu, Yongzhen, Xu, Mingwei, Li, Yue, Yang, Song, Wu, Qing, Xu, Qinqin, Xie, Haibo, Huang, Jun
Publikováno v:
In Energy Storage Materials August 2024 71