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cs.LG2026
Pre-Deployment Complexity Estimation for Federated Perception Systems
KMA Solaiman, Shafkat Islam, Ruy de Oliveira +1
Edge AI systems increasingly rely on federated learning to train perception models in distributed, privacy-preserving, and resource-constrained environments. Before training, howev…
cs.LG2021
Decision Making in Monopoly using a Hybrid Deep Reinforcement Learning Approach
Trevor Bonjour, Marina Haliem, Aala Alsalem +5
Learning to adapt and make real-time informed decisions in a dynamic and complex environment is a challenging problem. Monopoly is a popular strategic board game that requires play…