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'Florida Brilliance' Strawberry
Published 2018-10-01“…This cultivar was originally evaluated as breeding selection FL 13.26-134. It originated from a 2013 cross between breeding selection FL 11.31-14 (female parent) and selection FL 10-153 (male parent). …”
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Processing and Performance of Polymeric Transparent Conductive Composites
Published 2013-01-01Get full text
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Implementation of an Evidence-Based Exercise Program for Older Adults in South Florida
Published 2016-01-01Get full text
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Endovascular and Surgical Treatment of Unruptured MCA Aneurysms: Meta-Analysis and Review of the Literature
Published 2014-01-01Get full text
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Intrathyroidal Clear Cell Tumor of Parathyroid Origin with Review of Literature
Published 2016-01-01Get full text
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Comparison of Retinal Microvessel Blood Flow Velocities Acquired with Two Different Fields of View
Published 2017-01-01Get full text
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Donors With Previous Malignancy: When Is It Safe to Proceed With Organ Transplantation?
Published 2025-01-01Get full text
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Towards Reliable Participation in UAV-Enabled Federated Edge Learning on Non-IID Data
Published 2024-01-01“…Federated Learning (FL) is a decentralized machine learning (ML) technique that allows a number of participants to train an ML model collaboratively without having to share their private local datasets with others. …”
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Inborn Errors of Immunity Presenting with Early-Onset Severe Atopy
Published 2025-01-01Get full text
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Association of Sociodemographic Factors With Overtriage, Undertriage, and Value of Care After Major Surgery
Published 2024-06-01Get full text
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Patient-derived follicular lymphoma spheroids recapitulate lymph node signaling and immune profile uncovering galectin-9 as a novel immunotherapeutic target
Published 2024-05-01“…Here we present the first FL-Patient Derived Lymphoma Spheroid (FL-PDLS), including fundamental immune actors and features of TME in FL lymph nodes (LNs). …”
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A survey of federated learning for 6G networks
Published 2023-06-01“…It is an important feature of the 6G that how to realize everything interconnection through large-scale complex heterogeneous networks based on native artificial intelligence (AI).Thanks to the distinct machine learning architecture of data processing locally, federated learning (FL) is regarded as one of the promising solutions to incorporate distributed AI in 6G scenarios, and has become a critical research direction of 6G.Therefore, the necessity of introducing distributed AI into the future 6G especially for internet of things (IoT) scenarios was analyzed.And then, the potentials of FL in meeting the 6G requirements were discussed, and the state-of-the-arts of FL related technologies such as architecture design, resource utilization, data transmission, privacy protection, and service provided for 6G were investigated.Finally, several key technical challenges and potential valuable research directions for FL-empowered 6G were put forward.…”
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