Zobrazeno 1 - 10
of 399
pro vyhledávání: '"A. Emiola"'
Autor:
Emiola, Iyanuoluwa
The growth in sizes of large-scale systems and data in machine learning have made distributed optimization a naturally appealing technique to solve decision problems in different contexts. In such methods, each agent iteratively carries out computati
Externí odkaz:
http://arxiv.org/abs/2206.09285
Autor:
Emiola, Iyanuoluwa, Enyioha, Chinwendu
This paper considers a distributed optimization problem in a multi-agent system where a fraction of the agents act in an adversarial manner. Specifically, the malicious agents steer the network of agents away from the optimal solution by sending fals
Externí odkaz:
http://arxiv.org/abs/2206.02272
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-10 (2024)
Abstract Bacteria use a variety of defense systems to protect themselves from phage infection. In turn, phages have evolved diverse counter-defense measures to overcome host defenses. Here, we use protein structural similarity and gene co-occurrence
Externí odkaz:
https://doaj.org/article/681987f5694a49d9bec64773c0db152e
Autor:
Emiola, Iyanuoluwa, Adem, Robson
This paper gives an in-depth review of the most common iterative methods for unconstrained optimization using two functions that belong to a class of Rosenbrock functions as a performance test. This study covers the Steepest Gradient Descent Method,
Externí odkaz:
http://arxiv.org/abs/2101.10546
In this paper, we consider an unconstrained distributed optimization problem over a network of agents, in which some agents are adversarial. We solve the problem via gradient-based distributed optimization algorithm and characterize the effect of the
Externí odkaz:
http://arxiv.org/abs/2101.09347
Autor:
Emiola, Iyanuoluwa
This paper considers the online scenario using the Barzilai-Borwein Quasi-Newton Method. In an online optimization problem, an online agent uses a certain algorithm to decide on an objective at each time step after which a possible loss is encountere
Externí odkaz:
http://arxiv.org/abs/2007.14198
Publikováno v:
In Emerging Animal Species December 2023 9
Publikováno v:
In Journal of the Energy Institute December 2023 111
Autor:
Margaret Terry Orr, Emiola Oyefuga
Publikováno v:
Frontiers in Education, Vol 8 (2023)
Externí odkaz:
https://doaj.org/article/e7a2001542a041f888f861ff9d7ce230
Publikováno v:
BMC Medical Ethics, Vol 23, Iss 1, Pp 1-8 (2022)
Abstract Objectives The study evaluated nurses’ perceptions on the benefits, drawbacks, and their roles in initiating and implementing advance directives (AD) at private and public secondary healthcare units. Methods The study adopted a cross-secti
Externí odkaz:
https://doaj.org/article/49ac1a5d57944736aa5aa10028e784b8