2 papers
cs.MA2024
Scalable Multi-agent Reinforcement Learning for Factory-wide Dynamic Scheduling
Jaeyeon Jang, Diego Klabjan, Han Liu +5
Real-time dynamic scheduling is a crucial but notoriously challenging task in modern manufacturing processes due to its high decision complexity. Recently, reinforcement learning (…
cs.LG2024
Hybrid FedGraph: An efficient hybrid federated learning algorithm using graph convolutional neural network
Jaeyeon Jang, Diego Klabjan, Veena Mendiratta +1
Federated learning is an emerging paradigm for decentralized training of machine learning models on distributed clients, without revealing the data to the central server. Most exis…