FLASH-RL: Federated Learning Addressing System and Static Heterogeneity using Reinforcement Learning
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 ...
Learn how frameworks like Solid, Svelte, and Angular are using the Signals pattern to deliver reactive state without the ...
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