5 papers
Q-linear Convergence of Distributed Optimization with Barzilai-Borwein Step Sizes
Iyanuoluwa Emiola
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 c…
Quantized and Distributed Subgradient Optimization Method with Malicious Attack
Iyanuoluwa Emiola, Chinwendu Enyioha
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 stee…
Comparison of Minimization Methods for Rosenbrock Functions
Iyanuoluwa Emiola, Robson Adem
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 perf…
On Distributed Optimization in the Presence of Malicious Agents
Iyanuoluwa Emiola, Laurent Njilla, Chinwendu Enyioha
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…
Sublinear Regret with Barzilai-Borwein Step Sizes
Iyanuoluwa Emiola
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…