Zobrazeno 1 - 10
of 32 051
pro vyhledávání: '"P Farid"'
In this work, we present a quantum query algorithm for searching a word of length $m$ in an unsorted dictionary of size $n$. The algorithm uses $O(\sqrt{n})$ queries (Grover operators), like previously known algorithms. What is new is that the algori
Externí odkaz:
http://arxiv.org/abs/2412.11422
An Overview of the Decentralized Reconfiguration Language Concerto-D through its Maude Formalization
Publikováno v:
EPTCS 414, 2024, pp. 21-38
We propose an overview of the decentralized reconfiguration language Concerto-D through its Maude formalization. Concerto-D extends the already published Concerto language. Concerto-D improves on two different parameters compared with related work: t
Externí odkaz:
http://arxiv.org/abs/2412.08233
Autor:
Ahamed, Sayyed Farid, Banerjee, Soumya, Roy, Sandip, Kapoor, Aayush, Vucovich, Marc, Choi, Kevin, Rahman, Abdul, Bowen, Edward, Shetty, Sachin
In the evolving landscape of machine learning (ML), Federated Learning (FL) presents a paradigm shift towards decentralized model training while preserving user data privacy. This paper introduces the concept of ``privacy drift", an innovative framew
Externí odkaz:
http://arxiv.org/abs/2412.05183
Autor:
Bohacek, Matyas, Farid, Hany
Full-blown AI-generated video generation continues its journey through the uncanny valley to produce content that is perceptually indistinguishable from reality. Intermixed with many exciting and creative applications are malicious applications that
Externí odkaz:
http://arxiv.org/abs/2412.00526
Real-time monitoring of critical parameters is essential for energy systems' safe and efficient operation. However, traditional sensors often fail and degrade in harsh environments where physical sensors cannot be placed (inaccessible locations). In
Externí odkaz:
http://arxiv.org/abs/2412.00107
Autor:
Dasgupta, Mrinal, Hounat, Farid
In this article we study, via analytical methods, $1/Q$ non-perturbative power corrections to event shape mean values, addressing in particular the question of their interplay with soft perturbative emissions. Specifically we point out that energy-or
Externí odkaz:
http://arxiv.org/abs/2411.16867
Within the Color Glass Condensate effective field theory, we assess the importance of including a finite size for the target on observables sensitive to small-$x$ evolution. To this end, we study the Balitsky-Kovchegov (BK) equation with impact-param
Externí odkaz:
http://arxiv.org/abs/2411.13533
Artificial Intelligence (AI) and infectious diseases prediction have recently experienced a common development and advancement. Machine learning (ML) apparition, along with deep learning (DL) emergence, extended many approaches against diseases appar
Externí odkaz:
http://arxiv.org/abs/2411.10486
Autor:
Zhang, Chengyuan, Zhang, Yilin, Zhu, Lei, Liu, Deyin, Wu, Lin, Li, Bo, Zhang, Shichao, Bennamoun, Mohammed, Boussaid, Farid
This paper introduces a novel framework for unified incremental few-shot object detection (iFSOD) and instance segmentation (iFSIS) using the Transformer architecture. Our goal is to create an optimal solution for situations where only a few examples
Externí odkaz:
http://arxiv.org/abs/2411.08569
This paper presents an approach to semi-supervised learning for the classification of data using the Lipschitz Learning on graphs. We develop a graph-based semi-supervised learning framework that leverages the properties of the infinity Laplacian to
Externí odkaz:
http://arxiv.org/abs/2411.03273