Abstract: We propose FLASH-RL, a framework utilizing Double Deep Q-Learning (DDQL) to address system and static heterogeneity in Federated Learning (FL). FLASH-RL introduces a new reputation-based ...
Abstract: This paper presents a predictive model for cricket player performance utilizing machine learning techniques to optimize team selection for competitive matches. By analyzing historical ...