Zobrazeno 1 - 10
of 35
pro vyhledávání: '"Elmahdy, Adel"'
Information retrieval across different languages is an increasingly important challenge in natural language processing. Recent approaches based on multilingual pre-trained language models have achieved remarkable success, yet they often optimize for
Externí odkaz:
http://arxiv.org/abs/2408.10536
Autor:
Elmahdy, Adel, Salem, Ahmed
Natural language processing (NLP) models have become increasingly popular in real-world applications, such as text classification. However, they are vulnerable to privacy attacks, including data reconstruction attacks that aim to extract the data use
Externí odkaz:
http://arxiv.org/abs/2306.13789
Recent work has demonstrated the successful extraction of training data from generative language models. However, it is not evident whether such extraction is feasible in text classification models since the training objective is to predict the class
Externí odkaz:
http://arxiv.org/abs/2206.04591
The information-theoretic secure exact-repair regenerating codes for distributed storage systems (DSSs) with parameters $(n,k=d,d,\ell)$ are studied in this paper. We consider distributed storage systems with $n$ nodes, in which the original data can
Externí odkaz:
http://arxiv.org/abs/2201.00313
Publikováno v:
Advances in Neural Information Processing Systems 33 (NeurIPS 2020)
We consider a matrix completion problem that exploits social or item similarity graphs as side information. We develop a universal, parameter-free, and computationally efficient algorithm that starts with hierarchical graph clustering and then iterat
Externí odkaz:
http://arxiv.org/abs/2201.01728
We study the matrix completion problem that leverages hierarchical similarity graphs as side information in the context of recommender systems. Under a hierarchical stochastic block model that well respects practically-relevant social graphs and a lo
Externí odkaz:
http://arxiv.org/abs/2109.05408
Autor:
Elmahdy, Adel, Mohajer, Soheil
Publikováno v:
IEEE Transactions on Information Theory, vol. 66, no. 5, pp. 3098-3131, May 2020
We consider the data shuffling problem in a distributed learning system, in which a master node is connected to a set of worker nodes, via a shared link, in order to communicate a set of files to the worker nodes. The master node has access to a data
Externí odkaz:
http://arxiv.org/abs/1807.04255
Autor:
Elmahdy, Adel M., El-Keyi, Amr, Mohasseb, Yahya, ElBatt, Tamer, Nafie, Mohammed, Seddik, Karim G., Khattab, Tamer
In this paper, we characterize the asymmetric total degrees of freedom (DoF) of a multiple-input multiple-output (MIMO) 3-way channel. Each node has a separate-antenna full-duplex MIMO transceiver with a different number of antennas, where each anten
Externí odkaz:
http://arxiv.org/abs/1608.00209
We study the problem of optimizing the performance of cognitive radio users with opportunistic real-time applications subject to primary users quality-of-service (QoS) constraints. Two constrained optimization problems are formulated; the first probl
Externí odkaz:
http://arxiv.org/abs/1603.09530
Autor:
Elmahdy, Adel E.
This work addresses the material properties and behaviour of Japanese lacquers (urushi) coatings similar to those found on the Mazarin Chest, an important Japanese lacquerware artefact currently displayed in the Toshiba Gallery of Japanese Art at the
Externí odkaz:
http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.679937