Zobrazeno 1 - 10
of 2 292
pro vyhledávání: '"CHAN, KEVIN"'
Joint Task Offloading and Routing in Wireless Multi-hop Networks Using Biased Backpressure Algorithm
Autor:
Zhao, Zhongyuan, Perazzone, Jake, Verma, Gunjan, Chan, Kevin, Swami, Ananthram, Segarra, Santiago
A significant challenge for computation offloading in wireless multi-hop networks is the complex interaction among traffic flows in the presence of interference. Existing approaches often ignore these key effects and/or rely on outdated queueing and
Externí odkaz:
http://arxiv.org/abs/2412.15385
Autor:
Olshevskyi, Rostyslav, Zhao, Zhongyuan, Chan, Kevin, Verma, Gunjan, Swami, Ananthram, Segarra, Santiago
Graph neural networks (GNNs) are powerful tools for developing scalable, decentralized artificial intelligence in large-scale networked systems, such as wireless networks, power grids, and transportation networks. Currently, GNNs in networked systems
Externí odkaz:
http://arxiv.org/abs/2412.06105
Autor:
Mei, Yongsheng, Yuan, Liangqi, Han, Dong-Jun, Chan, Kevin S., Brinton, Christopher G., Lan, Tian
Federated learning (FL) has become a cornerstone in decentralized learning, where, in many scenarios, the incoming data distribution will change dynamically over time, introducing continuous learning (CL) problems. This continual federated learning (
Externí odkaz:
http://arxiv.org/abs/2411.06618
Autor:
Erfaniantaghvayi, Negar, Zhao, Zhongyuan, Chan, Kevin, Verma, Gunjan, Swami, Ananthram, Segarra, Santiago
A mixture of streaming and short-lived traffic presents a common yet challenging scenario for Backpressure routing in wireless multi-hop networks. Although state-of-the-art shortest-path biased backpressure (SP-BP) can significantly improve the laten
Externí odkaz:
http://arxiv.org/abs/2408.12702
When making decisions in a network, it is important to have up-to-date knowledge of the current state of the system. Obtaining this information, however, comes at a cost. In this paper, we determine the optimal finite-time update policy for monitorin
Externí odkaz:
http://arxiv.org/abs/2405.11089
Autor:
Zhao, Joshua C., Bagchi, Saurabh, Avestimehr, Salman, Chan, Kevin S., Chaterji, Somali, Dimitriadis, Dimitris, Li, Jiacheng, Li, Ninghui, Nourian, Arash, Roth, Holger R.
Deep learning has shown incredible potential across a vast array of tasks and accompanying this growth has been an insatiable appetite for data. However, a large amount of data needed for enabling deep learning is stored on personal devices and recen
Externí odkaz:
http://arxiv.org/abs/2405.03636
Autor:
Chan, Kevin Ki Fai
Zika (ZIKV), La Crosse (LACV), and Cache Valley (CVV) viruses are mosquito-vectored diseases that cause significant morbidity and mortality in humans and animals. Transmission of these viruses are dependent on numerous factors including vector compet
Externí odkaz:
http://hdl.handle.net/10919/104393
Autor:
Chan, Kevin, Paardekooper, Sijme-Jan
Dust rings in protoplanetary discs are often observed in thermal dust emission and could be favourable environments for planet formation. While dust rings readily form in gas pressure maxima, their long-term stability is key to both their observabili
Externí odkaz:
http://arxiv.org/abs/2401.04517
Autor:
Abdallah, Mustafa, Bagchi, Saurabh, Bopardikar, Shaunak D., Chan, Kevin, Gao, Xing, Kantarcioglu, Murat, Li, Congmiao, Liu, Peng, Zhu, Quanyan
Many of our critical infrastructure systems and personal computing systems have a distributed computing systems structure. The incentives to attack them have been growing rapidly as has their attack surface due to increasing levels of connectedness.
Externí odkaz:
http://arxiv.org/abs/2309.01281