Results 81 to 90 of about 17,879 (167)

Federated learning for automotive applications

Journal of Highway and Transportation Research and Development
This paper presents and evaluates a new distributed learning technology, called federated learning, and its applications in automotive systems. We review and classify existing approaches to federated learning, focusing on its implementation in connected ...
William Lindskog-Münzing, Christian Prehofer   +1 more
doaj   +1 more source

Fractional Order Federated Learning

IEEE Transactions on Artificial Intelligence
This paper is submitted to IEEE ...
Mohammad Partohaghighi, Roummel F. Marcia, YangQuan Chen   +2 more
openaire   +2 more sources

Federated Learning with Flexible Architectures

Traditional federated learning (FL) methods have limited support for clients with varying computational and communication abilities, leading to inefficiencies and potential inaccuracies in model training. This limitation hinders the widespread adoption of FL in diverse and resource-constrained environments, such as those with client devices ranging ...
Jong-Ik Park, Carlee Joe-Wong
openaire   +2 more sources

Blockchain-enabled federated learning

32 pages, 6 figures, chapter for edited book (Federated Learning: Foundations and Applications)
Murtaza Hatim Rangwala, Venugopal K. R. 0001, Rajkumar Buyya   +2 more
openaire   +2 more sources

HYPERBOLIC MODEL AGGREGATION FOR FEDERATED LEARNING IN FMRI. [PDF]

Proc IEEE Int Symp Biomed Imaging
Wang J, Dvornek N, Duan P, Marshall A, Staib L, Duncan J.   +5 more
europepmc   +1 more source

Stability-Controlled Continual Federated Learning for Energy-Harvesting AIoT Systems. [PDF]

Sensors (Basel)
Park J, Yoon I, Noh DK.
europepmc   +1 more source

Federated learning with swarm intelligence for efficient and secure medical image analysis. [PDF]

Sci Rep
SayedElahl MA, Farouk RM, Ali AE, Ahmed E.   +3 more
europepmc   +1 more source

Real-world federated learning for brain imaging scientists. [PDF]

Front Digit Health
Denissen S, Laton J, Grothe M, Vaneckova M, Uher T, Kudrna M, Horáková D, Baijot J, Penner IK, Kirsch M, Motýl J, De Vos M, Chén OY, Van Schependom J, Sima DM, Nagels G.   +15 more
europepmc   +1 more source

TrainTracks - federated learning for reproducible research on sensitive medical data. [PDF]

BMC Med Inform Decis Mak
Elwes M, Jaberansary M, Tang FK, Aswendt M, Beyan O, Kutafina E.   +5 more
europepmc   +1 more source

Adaptive client participation mechanism for federated learning in heterogeneous vehicular networks. [PDF]

Sci Rep
Lin W, Zhou Y.
europepmc   +1 more source