Results 161 to 170 of about 96,144 (271)

Federated Learning Under Evolving Distribution Shifts. [PDF]

Entropy (Basel)
Tan X, Xie T, Zheng X, Yener A, Lee M, Payani A, Latapie H, Zhang X.   +7 more
europepmc   +1 more source

Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges

Epilepsia Open, EarlyView.
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus, Cesar Santana‐Gomez, Ruby G. Escalante, Dominique Duncan, Pedro F. Viana, Giulia Sofia Cereda, Naoto Kuroda, Aristea S. Galanopoulou   +7 more
wiley   +1 more source

Privacy-preserving multimodal federated learning pipeline for cyber-resilient healthcare systems. [PDF]

PLoS One
Tanvir MIM, Rabby HR, Arif MH, Nadia NY, Nur K.   +4 more
europepmc   +1 more source

The Global Epilepsy Needs Study (GENS): A mixed‐methods, multi‐country exploration of the unmet psychosocial and everyday needs of people with epilepsy

Epilepsia Open, EarlyView.
Abstract Objective While epilepsy research has largely focused on medical management and clinical outcomes, less attention has been given to the unmet psychosocial and everyday needs of people with epilepsy (PWE), particularly in low‐ and middle‐income countries.
Gus A. Baker, Sandeep Kumar Bagga, Donna Walsh, Claire Nolan, Shivani Sharma, Charlotte Hooker, Pepa Gonzalez Parrao, Francesca Sofia, J. Helen Cross, Ma. Marta Bertone, Ivana García, Adam Jallow Janneh, Alison Kukla, Elvira Vacas Montero, Ding Ding, Latica Friedrich, Lecio Figueira Pinto, Gagandeep Singh, Chahnez Charfi Triki, Leya Raj, Allan Reese, on behalf of GENS Collaborators, Naziya Anzari, Alicia Bogacz, Martin Brodie, Heather Brooks, Nicole Coulthard, Laura Dickson, Laura Maria de Figueiredo Ferreira Guilhoto, Anchor Hung, John Nute Jabang, Boram Lee, Kheng‐Seang Lim, Rebecca Lisle, Anita Mago, Sharon Mbugua, Bindu Menon, Sarah Nekesa, Youssouf Noormamode, Per Olesen, Kris Pierce, Dzenana Rustempasic, Jitendra K. Sahu, Ana Sruk, Christa Studzinski, Nirmal Surya, Maria Alice Susemihl, Laura Weidner, Samuel Wiebe, Andrea Wilkinson, Leonie Wollscheid, Ian Wong, Bernadette Zappa   +52 more
wiley   +1 more source

Correction: Securing Federated Learning With Blockchain in the Medical Field: Systematic Literature Review. [PDF]

J Med Internet Res
Wang X, Xie Y, Chen X, Yang J, Li R, Gao W, Yan Z, Zhou H, Ye Z.   +8 more
europepmc   +1 more source

Widening participation in the International League Against Epilepsy: Looking to the future

Epilepsia Open, EarlyView.
Abstract The International League Against Epilepsy (ILAE) is a global organization dedicated to improving the lives of people with epilepsy through education, research, and advocacy. Recognizing the need for broader engagement and multidisciplinary collaboration, the ILAE has established five sections: Young Epilepsy Section (YES), Nursing, Social Work
J. Helen Cross, Lauren Coleman, Sebastian Oritz, Alina Ivaniuk, Cecilie Gjessing nome, Eugenia Roza, Patricia O. Shafer, Jane von Gaudecker, Chris Ryan, Benjamin H. Brinkmann, Caroline Neuray, Tim Welty, Samuel Wiebe, Alla Guekht   +13 more
wiley   +1 more source

IMFLKD: an incentive mechanism for decentralized federated learning based on knowledge distillation. [PDF]

Sci Rep
Ying X, Yan K, Gao X, Huang J.
europepmc   +1 more source

Glucose and Loss of Control Eating: Evidence From Naturalistic Assessment After Roux‐en‐Y Gastric Bypass

European Eating Disorders Review, EarlyView.
ABSTRACT Objective While loss of control (LOC) eating is associated with poor outcomes following metabolic and bariatric surgery (MBS), the mechanisms driving it are less understood. This study used momentary, naturalistic data to examine glucose as a biological correlate of LOC eating after Roux‐en‐Y gastric bypass (RYGB).
Gail A. Kerver, Kristine J. Steffen, Debra L. Safer, Glen Forester, David B. Sarwer, Stephen A. Wonderlich, Scott G. Engel   +6 more
wiley   +1 more source

Threshold-adaptive pruning with multi-key homomorphic encryption for communication-efficient secure federated learning. [PDF]

PLoS One
Guo J, Liu R, Xing J.
europepmc   +1 more source

Ensemble Deep Learning–Based Wind Power Forecasting With Self‐Adaptive Osprey Optimization Algorithm

Energy Science &Engineering, EarlyView.
Design of Self‐Adaptive Osprey (SAO) algorithm: The novel SAO algorithm is designed by integrating the exploration capability of the conventional Osprey algorithm by including the self‐adaptiveness for enhancing the convergence rate. Ensemble Deep Learning for wind power forecasting: The wind forecasting is employed using the proposed Ensemble learning
Johncy Bai Johnson, Sivarani Thankamony Saradha Devi, Kumar Chandrasekaran, Sourav Barua   +3 more
wiley   +1 more source