Zobrazeno 1 - 10
of 535
pro vyhledávání: '"Krishnamachari, Bhaskar"'
Like any other useful technology, cryptocurrencies are sometimes used for criminal activities. While transactions are recorded on the blockchain, there exists a need for a more rapid and scalable method to detect addresses associated with fraudulent
Externí odkaz:
http://arxiv.org/abs/2410.02160
Smart grids are a valuable data source to study consumer behavior and guide energy policy decisions. In particular, time-series of power consumption over geographical areas are essential in deciding the optimal placement of expensive resources (e.g.,
Externí odkaz:
http://arxiv.org/abs/2408.16017
Autor:
Lavin, Ryan, Liu, Xuekai, Mohanty, Hardhik, Norman, Logan, Zaarour, Giovanni, Krishnamachari, Bhaskar
Zero-knowledge proofs (ZKPs) represent a revolutionary advance in computational integrity and privacy technology, enabling the secure and private exchange of information without revealing underlying private data. ZKPs have unique advantages in terms
Externí odkaz:
http://arxiv.org/abs/2408.00243
We introduce Graph Kolmogorov-Arnold Networks (GKAN), an innovative neural network architecture that extends the principles of the recently proposed Kolmogorov-Arnold Networks (KAN) to graph-structured data. By adopting the unique characteristics of
Externí odkaz:
http://arxiv.org/abs/2406.06470
In dynamic and resource-constrained environments, such as multi-hop wireless mesh networks, traditional routing protocols often falter by relying on predetermined paths that prove ineffective in unpredictable link conditions. Shortest Anypath routing
Externí odkaz:
http://arxiv.org/abs/2405.10377
We propose a new paradigm for machine translation that is particularly useful for no-resource languages (those without any publicly available bilingual or monolingual corpora): LLM-RBMT (LLM-Assisted Rule Based Machine Translation). Using the LLM-RBM
Externí odkaz:
http://arxiv.org/abs/2405.08997
This study introduces a robust solution for the detection of Distributed Denial of Service (DDoS) attacks in Internet of Things (IoT) systems, leveraging the capabilities of Graph Convolutional Networks (GCN). By conceptualizing IoT devices as nodes
Externí odkaz:
http://arxiv.org/abs/2403.09118
Scheduling a task graph representing an application over a heterogeneous network of computers is a fundamental problem in distributed computing. It is known to be not only NP-hard but also not polynomial-time approximable within a constant factor. As
Externí odkaz:
http://arxiv.org/abs/2403.07120
Scheduling distributed applications modeled as directed, acyclic task graphs to run on heterogeneous compute networks is a fundamental (NP-Hard) problem in distributed computing for which many heuristic algorithms have been proposed over the past dec
Externí odkaz:
http://arxiv.org/abs/2403.07112
In decentralized finance (DeFi), stablecoins like DAI are designed to offer a stable value amidst the fluctuating nature of cryptocurrencies. We examine the class of crypto-backed stable derivatives, with a focus on mechanisms for price stabilization
Externí odkaz:
http://arxiv.org/abs/2402.18119