Results 81 to 90 of about 17,541 (167)

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

Secure Federated Learning Algorithms for Vertical and Combined Data Partitioning

Future Internet
With the growing need for collaborative machine learning across institutions holding sensitive data, ensuring data privacy without compromising model performance has become an important challenge. This work introduces secure federated learning algorithms
Amir Anees, Ding Ming, Gnana Bharathy, Lois Holloway   +3 more
doaj   +1 more source

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

Data Summarization for Federated Learning

We explore data summarization techniques as a mean to reduce the energy footprint of Federated Learning (FL). We formulate the problem of selecting a small subset of data points that best represent the gradient of each local dataset as a submodular maximization problem and provide sufficient conditions under which the FL training is guaranteed to ...
Devillers, Julianna, Brun, Olivier, Prabhu, Balakrishna   +2 more
openaire   +2 more sources

Equitable Federated Learning with NCA

Federated Learning (FL) is enabling collaborative model training across institutions without sharing sensitive patient data. This approach is particularly valuable in low- and middle-income countries (LMICs), where access to trained medical professionals is limited.
Nick Lemke, Mirko Konstantin, Henry John Krumb, John Kalkhof, Jonathan Stieber, Anirban Mukhopadhyay 0003   +5 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