Results 91 to 100 of about 1,704,441 (287)

Weighted Ensemble Distillation in Federated Learning with Non-IID Data

, 2022
Federated distillation (FD) is a novel algorithmic idea for federated learning (FL) that allows clients to use heterogeneous model architectures. This is achieved by distilling aggregated local model predictions on an unlabeled auxiliary dataset into ...
Eriksson, Oscar
core  

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

Assessing Progression Independent of Relapse Activity in Multiple Sclerosis Using a Patient‐Reported Disability Measure and Self‐Administered Neuroperformance Outcomes

Annals of Neurology, EarlyView.
Objective The objective of this study was to investigate the ability of patient‐reported/administered outcomes to capture disability worsening and progression independent of relapse activity (PIRA) in multiple sclerosis (MS). Methods We included patients from the longitudinal multicenter MS PATHS cohort with ≥3 assessments and >6 months follow‐up. PIRA
Evy M. Reinders, Ariadna Masot‐Llima, Susana Otero‐Romero, René Carvajal, Álvaro Cobo‐Calvo, Pere Carbonell‐Mirabent, Jordina Beltran, Maria Jesús Arévalo, Helena Ariño, Georgina Arrambide, Cristina Auger, Luca Bollo, Joaquín Castilló, Manuel Comabella, Ingrid Galán, Alexis García‐Sarreón, Andrew Goodman, Carrie M. Hersh, Delon La Puma, Le H. Hua, Luciana Midaglia, Neus Mongay‐Ochoa, Ellen M. Mowry, Agustín Pappolla, Breogán Rodríguez‐Acevedo, Jordi Río, Paula Tagliani, Ángela Vidal‐Jordana, Andreu Vilaseca, Ana Zabalza, Deborah Pareto, Carlos Nos, Menno Schoonheim, Eva Strijbis, Jaume Sastre‐Garriga, Madalina Tivarus, Tjalf Ziemssen, Àlex Rovira, Xavier Montalban, Mar Tintoré, Carmen Tur   +40 more
wiley   +1 more source

Cloud–Edge–End Collaborative Federated Learning: Enhancing Model Accuracy and Privacy in Non-IID Environments

Sensors
Cloud–edge–end computing architecture is crucial for large-scale edge data processing and analysis. However, the diversity of terminal nodes and task complexity in this architecture often result in non-independent and identically distributed (non-IID ...
Ling Li, Lidong Zhu, Weibang Li
doaj   +1 more source

Federated Loss Exploration for Improved Convergence on Non-IID Data

Internò C, Olhofer M, Jin Y, Hammer B. Federated Loss Exploration for Improved Convergence on Non-IID Data. In: 2024 International Joint Conference on Neural Networks (IJCNN). IEEE International Joint Conference on Neural Networks (IJCNN).
Hammer, Barbara ; https://orcid.org/, Jin, Yaochu, Internò, Christian, Olhofer, Markus   +3 more
core   +1 more source

Dental anomalies in Pleistocene African hippopotamuses from Olduvai Bed II

The Anatomical Record, EarlyView.
Abstract Hippopotamuses are key palaeoenvironmental indicators in African Pleistocene ecosystems due to their ecological dependence on permanent water bodies and their frequent representation in the fossil record. This study examines dental anomalies in Hippopotamus cf. gorgops from several localities in Bed II of Olduvai Gorge (Tanzania), dated to ca.
Darío Fidalgo, Faysal Bibi, Jean‐Renaud Boisserie, Jackson K. Njau, Ignacio de la Torre   +4 more
wiley   +1 more source

Genomic Structural Variations Provide Insights Into Litter Size and Teat Number Traits in Hu Sheep

Animal Research and One Health, EarlyView.
Here, we conducted whole genome sequencing on 300 Hu sheep with an average depth of 16.51X. Two candidate genes associated with litter size and teat number traits were identified, namely MAST2 and AFDN. ABSTRACT Litter size and the teat number are important economic indicators in sheep production.
Xin Xiang, Wei Dai, Jiqiang Liu, Zhengguang Wang   +3 more
wiley   +1 more source

Homologous membrane wrapped ZIF‐8 nanoparticles accelerate differentiation of neural stem cell for spinal cord injury therapy

BMEMat, EarlyView.
Homologous membrane wrapped ZIF‐8 nanoparticles were proposed to improve biocompatibility and targeting ability to neural stem cells (NSCs). ZIF‐8‐SCM NPs exhibit pH responsiveness, thereby generating an intracellular Zn2+ storm to accelerate neural differentiation through calcium and MAPK signaling pathways. Moreover, they promote function recovery in
Jie Wang, Lusen Shi, Xinhui Liu, Zhong Zhuang, Zhichao Feng, Chunhui Sun, Jingang Wang, Nik Ahmad Nizam Nik Malek, Wan Hairul Anuar Kamaruddin, Shuping Wang, Hengxing Zhou, Na Ren   +11 more
wiley   +1 more source

What Constitutes an Attractive Product‐as‐a‐Service Offer? Examining Consumer Preferences for (Circular) Business Patterns

Business Strategy and the Environment, EarlyView.
ABSTRACT Little is known about consumer preferences for combinations of circular business model patterns, despite their potential to benefit the design of product services. This study examines consumer preferences for product‐as‐a‐service offers, combined with circular product attributes, across Sweden and the Netherlands.
Steven Sarasini, Aemiro Melkamu Daniel, Katherine Whalen, Nancy Bocken, Agnieszka Hunka, Tarlan Ahmadov   +5 more
wiley   +1 more source

CHPFL: Clustered adaptive hierarchical federated learning for edge-level personalization

High-Confidence Computing
Federated learning faces challenges with non-IID data distributions, often resulting in suboptimal performance for individual clients with the global model. To address this issue, we propose a clustered hierarchical personalized federated learning (CHPFL)
Lihua Song, Jing Li, Honglu Jiang, Shuhua Wei, Yufei Guo   +4 more
doaj   +1 more source