5 citations · 7 across the 6 of their papers we have counts for
6 papers
Holonic Learning: A Flexible Agent-based Distributed Machine Learning Framework
Ahmad Esmaeili, Zahra Ghorrati, Eric T. Matson
Ever-increasing ubiquity of data and computational resources in the last decade have propelled a notable transition in the machine learning paradigm towards more distributed approa…
Distributed Agent-Based Collaborative Learning in Cross-Individual Wearable Sensor-Based Human Activity Recognition
Ahmad Esmaeili, Zahra Ghorrati, Eric T. Matson
The rapid growth of wearable sensor technologies holds substantial promise for the field of personalized and context-aware Human Activity Recognition. Given the inherently decentra…
Hybrid Algorithm Selection and Hyperparameter Tuning on Distributed Machine Learning Resources: A Hierarchical Agent-based Approach
Ahmad Esmaeili, Julia T. Rayz, Eric T. Matson
Algorithm selection and hyperparameter tuning are critical steps in both academic and applied machine learning. On the other hand, these steps are becoming ever increasingly delica…
Agent-based Collaborative Random Search for Hyper-parameter Tuning and Global Function Optimization
Ahmad Esmaeili, Zahra Ghorrati, Eric T. Matson
Hyper-parameter optimization is one of the most tedious yet crucial steps in training machine learning models. There are numerous methods for this vital model-building stage, rangi…
Hierarchical Collaborative Hyper-parameter Tuning
Ahmad Esmaeili, Zahra Ghorrati, Eric Matson
Hyper-parameter Tuning is among the most critical stages in building machine learning solutions. This paper demonstrates how multi-agent systems can be utilized to develop a distri…
HAMLET: A Hierarchical Agent-based Machine Learning Platform
Ahmad Esmaeili, John C. Gallagher, John A. Springer +1
Hierarchical Multi-Agent Systems provide convenient and relevant ways to analyze, model, and simulate complex systems composed of a large number of entities that interact at differ…