Results 181 to 190 of about 1,768,773 (316)
A critique of current approaches to privacy in machine learning. [PDF]
van Daalen F+6 more
europepmc +1 more source
A single object with dual properties – degradable and non‐degradable – is fabricated in a single print simply by switching the printing colors. The advanced multi‐material printing is enabled by the combination of a fully wavelength‐orthogonal photoresin and a monochromatic tunable laser printer, paving the way for precise multi‐material ...
Xingyu Wu+5 more
wiley +1 more source
Bank data protection and fraud identification based on improved adaptive federated learning and WGAN. [PDF]
Zheng Y.
europepmc +1 more source
DNA‑Directed Assembly of Photonic Nanomaterials for Diagnostic and Therapeutic Applications
DNA‐directed assembly offers a powerful strategy for constructing structured photonic nanomaterials with precise spatial control. This review provides a comprehensive overview of recent advancements in DNA‐assembled photonic nanomaterials for diagnostics and therapeutics, highlighting key design principles, functionalization strategies, and optical ...
Longjiang Ding+5 more
wiley +1 more source
Privacy-Preserving Glycemic Management in Type 1 Diabetes: Development and Validation of a Multiobjective Federated Reinforcement Learning Framework. [PDF]
Sarani Rad F, Li J.
europepmc +1 more source
Electrospinning and Nanofiber Technology: Fundamentals, Innovations, and Applications
This review explores electrospinning fundamentals, methods for synthesizing polymer, metal oxide, carbon, and composite nanofibers, and advancements in fiber architectures like porous, core–shell, and aligned structures. It highlights applications in functional membranes, sensors, energy systems, and catalyst design while addressing future ...
Yujang Cho+5 more
wiley +1 more source
Genetic secrets: Protecting privacy and confidentiality in the genetic era [PDF]
Mark A. Rothstein
openalex +3 more sources
Fusion of Personalized Federated Learning (PFL) with Differential Privacy (DP) Learning for Diagnosis of Arrhythmia Disease. [PDF]
Bokhari SM, Sohaib S, Shafi M.
europepmc +1 more source