Výsledky vyhledávání - "algorithm parameter configuration"

Knowledge- and Model-Driven Deep Reinforcement Learning for Efficient Federated Edge Learning: Single- and Multi-Agent Frameworks

Autoři: Yangchen Li Lingzhi Zhao Tianle Wang a další

Zdroj: IEEE Transactions on Machine Learning in Communications and Networking, Vol 3, Pp 332-352 (2025)

Témata: worker selection, deep reinforcement learning, edge computing, multi-agent reinforcement learning, Electronic computers. Computer science, algorithm parameter configuration, Federated learning, Telecommunication, QA75.5-76.95, TK5101-6720

Přístupová URL adresa: https://doaj.org/article/366a255474dc453c91480be991c6da35