Zobrazeno 1 - 10
of 16 954
pro vyhledávání: '"SWAMI, A."'
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 Existing approaches often ignore these key effects and/or rely on outdated queueing and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:
Zarlenga, Mateo Espinosa, Sankaranarayanan, Swami, Andrews, Jerone T. A., Shams, Zohreh, Jamnik, Mateja, Xiang, Alice
Deep neural networks trained via empirical risk minimisation often exhibit significant performance disparities across groups, particularly when group and task labels are spuriously correlated (e.g., "grassy background" and "cows"). Existing bias miti
Externí odkaz:
http://arxiv.org/abs/2409.17691
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
Autor:
Sayyed, Sazzad, Zhang, Milin, Rifat, Shahriar, Swami, Ananthram, De Lucia, Michael, Restuccia, Francesco
In order to deploy deep neural networks (DNNs) in high-stakes scenarios, it is imperative that DNNs provide inference robust to external perturbations - both intentional and unintentional. Although the resilience of DNNs to intentional and unintentio
Externí odkaz:
http://arxiv.org/abs/2408.00193
Given a graph $G = (V, E)$ and an integer $k$, the Minimum Membership Dominating Set problem asks to compute a set $S \subseteq V$ such that for each $v \in V$, $1 \leq |N[v] \cap S| \leq k$. The problem is known to be NP-complete even on split graph
Externí odkaz:
http://arxiv.org/abs/2408.00797
Autor:
Patra, Suvajit, Maitra, Arkadip, Tiwari, Megha, Kumaran, K., Prabhu, Swathy, Punyeshwarananda, Swami, Samanta, Soumitra
Automatic Sign Language (SL) recognition is an important task in the computer vision community. To build a robust SL recognition system, we need a considerable amount of data which is lacking particularly in Indian sign language (ISL). In this paper,
Externí odkaz:
http://arxiv.org/abs/2407.14224
To reduce the latency of Backpressure (BP) routing in wireless multi-hop networks, we propose to enhance the existing shortest path-biased BP (SP-BP) and sojourn time-based backlog metrics, since they introduce no additional time step-wise signaling
Externí odkaz:
http://arxiv.org/abs/2407.09753
Autor:
Swami, Abhishek, Farande, Snehal, Patil, Atharv, Parle, Atharva, Mane, Vivekanand, Thorat, Prathamesh
The most recent advances in medical imaging that have transformed diagnosis, especially in the case of interpreting X-ray images, are actively involved in the healthcare sector. The advent of digital image processing technology and the implementation
Externí odkaz:
http://arxiv.org/abs/2406.13266
The information flows among the people while they communicate through social media websites. Due to the dependency on digital media, a person shares important information or regular updates with friends and family. The set of persons on social media
Externí odkaz:
http://arxiv.org/abs/2406.08876