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Federated Learning in the Age of Foundation Models - FL 2024 International Workshops FL@FM-WWW 2024, Singapore, May 14, 2024; FL@FM-ICME 2024, Niagara Falls, ON, Canada, July 15, 2024; FL@FM-IJCAI 2024, Jeju Island, South Korea, August 5, 2024; and FL@FM-NeurIPS 2024, Vancouver, BC, Canada, December 15, 2024, Revised Selected Papers /

This LNAI volume constitutes the post proceedings of International Federated Learning Workshops such as follows: FL@FM-WWW 2024, FL@FM-ICME 2024, FL@FM-IJCAI 2024 and FL@FM-NeurIPS 2024. This LNAI volume focuses on the following topics: Efficient Model Adaptation and Personalization, Data Heterogene...

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Номзүйн дэлгэрэнгүй
Байгууллагын зохиогч:	SpringerLink (Online service)
Бусад зохиолчид:	Yu, Han (Засварлагч), Li, Xiaoxiao (Засварлагч), Xu, Zenglin (Засварлагч), Goebel, Randy (Засварлагч), King, Irwin (Засварлагч)
Формат:	Цахим Цахим ном
Хэл сонгох:	англи
Хэвлэсэн:	Cham : Springer Nature Switzerland : Imprint: Springer, 2025.
Хэвлэл:	1st ed. 2025.
Цуврал:	Lecture Notes in Artificial Intelligence, 15501
Нөхцлүүд:	Artificial intelligence. Artificial Intelligence.
Онлайн хандалт:	https://doi.org/10.1007/978-3-031-82240-7
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!

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