Distributed Optimization and Reinforcement Learning for Resource Allocation
In this topic, we develop distributed optimization methods or distributed reinforcement learning for resource allocation. We are also interested in algorithms that are decentralized that allows
integration of smart contracts that preserves privacy. This project started in 2021, more on this soon!