Zobrazeno 1 - 10
of 76
pro vyhledávání: '"Noori, Moslem"'
Autor:
Zhang, Xiangyi, Rozada, Ignacio, Böhm, Fabian, Valiante, Elisabetta, Noori, Moslem, Van Vaerenbergh, Thomas, Yang, Chan-Woo, Pedretti, Giacomo, Mohseni, Masoud, Beausoleil, Raymond
In-memory computing (IMC) has been shown to be a promising approach for solving binary optimization problems while significantly reducing energy and latency. Building on the advantages of parallel computation, we propose an IMC-compatible parallelism
Externí odkaz:
http://arxiv.org/abs/2409.09152
Redundant storage maintains the performance of distributed systems under various forms of uncertainty. This paper considers the uncertainty in node access and download service. We consider two access models under two download service models. In one a
Externí odkaz:
http://arxiv.org/abs/2102.04322
Autor:
Vedaie, Seyed Shakib, Noori, Moslem, Oberoi, Jaspreet S., Sanders, Barry C., Zahedinejad, Ehsan
Kernel methods play an important role in machine learning applications due to their conceptual simplicity and superior performance on numerous machine learning tasks. Expressivity of a machine learning model, referring to the ability of the model to
Externí odkaz:
http://arxiv.org/abs/2011.09694
Autor:
Noori, Moslem, Vedaie, Seyed Shakib, Singh, Inderpreet, Crawford, Daniel, Oberoi, Jaspreet S., Sanders, Barry C., Zahedinejad, Ehsan
Publikováno v:
Phys. Rev. Applied 14, 034034 (2020)
Quantum information processing is likely to have far-reaching impact in the field of artificial intelligence. While the race to build an error-corrected quantum computer is ongoing, noisy, intermediate-scale quantum (NISQ) devices provide an immediat
Externí odkaz:
http://arxiv.org/abs/1909.08131
The ever increasing demands for mobile network access have resulted in a significant increase in bandwidth usage. By improving the system spectral efficiency, multi-way relay networks (MWRNs) provide promising approaches to address this challenge. In
Externí odkaz:
http://arxiv.org/abs/1710.04337
Distributed storage systems (DSSs) provide a scalable solution for reliably storing massive amounts of data coming from various sources. Heterogeneity of these data sources often means different data classes (types) exist in a DSS, each needing a dif
Externí odkaz:
http://arxiv.org/abs/1701.06506
In a multiway relay channel (MWRC), pairwise transmission strategy can be used to reduce the computational complexity at the relay and the users without sacrificing the data rate, significantly. The performance of such pairwise strategies, however, i
Externí odkaz:
http://arxiv.org/abs/1608.08142
Accommodating the needs of a large number of diverse users in the Internet of Things (IoT), notably managing how the users access the common channel, has posed unique challenges to the network designers. In this paper, we study a heterogeneous IoT ne
Externí odkaz:
http://arxiv.org/abs/1605.08806
Storage allocation affects important performance measures of distributed storage systems. Most previous studies on the storage allocation consider its effect separately either on the success of the data recovery or on the service rate (time) where it
Externí odkaz:
http://arxiv.org/abs/1605.03547
In this paper, we study the effect of users' transmission ordering on the common rate and sum rate of pairwise multiway relay channels (MWRCs) with functional-decode-forward strategy. To this end, we first develop a graphical model for the data trans
Externí odkaz:
http://arxiv.org/abs/1406.4610