When Federated Learning Meets Oligopoly Competition

When Federated Learning Meets Oligopoly Competition is a research project that investigates the intersection of federated learning and oligopoly competition. The project involves advanced algorithms for distributed machine learning and was featured in an IEEE research paper.

• Research Leadership: Led the coding and experimental setup for a Federated Learning IEEE research paper.
• Advanced Algorithms: Implemented advanced algorithms for distributed machine learning.

GitHub Repository: FL-Coalition