Federated learning based on asynchronous and adjusted client training

Machine learning in small-scale unmanned aerial vehicle (UAV) deployment fails to accomplish complex missions of swarm intelligence. Federated learning (FL) tackles it by being able to handle large-scale learning, while keeping data private. The client data distribution involved in FL is often non-i...

Celý popis

Podrobná bibliografie

Vydáno v:	Physical communication Ročník 61; s. 102164
Hlavní autoři:	Dai, Mingjun, Zhao, Yinglin, Yuan, Jialong, Kianoush, Sanaz, Savazzi, Stefano, Li, Bingchun
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier B.V 01.12.2023
Témata:	Asynchronous algorithm Client training adjustment Federated learning Imbalance Non-IID Client training adjustment Federated learning Imbalance Asynchronous algorithm Non-IID
ISSN:	1874-4907, 1876-3219
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!