3 papers
eess.SY2025
Distributed Pose Graph Optimization using the Splitting Method based on the Alternating Direction Method of Multipliers
Zeinab Ebrahimi, Mohammad Deghat
Distributed optimization aims to leverage the local computation and communication capabilities of each agent to achieve a desired global objective. This paper addresses the distrib…
eess.SY2024
Distributed Robust Continuous-Time Optimization Algorithms for Time-Varying Constrained Cost
Zeinab Ebrahimi, Mohammad Deghat
This paper presents a distributed continuous-time optimization framework aimed at overcoming the challenges posed by time-varying cost functions and constraints in multi-agent syst…
cs.LG2024
AA-DLADMM: An Accelerated ADMM-based Framework for Training Deep Neural Networks
Zeinab Ebrahimi, Gustavo Batista, Mohammad Deghat
Stochastic gradient descent (SGD) and its many variants are the widespread optimization algorithms for training deep neural networks. However, SGD suffers from inevitable drawbacks…