Results 191 to 200 of about 64,907 (298)
Splitting smarter: Differential privacy for secure healthcare federated learning. [PDF]
Onireti MY, Shukla RM, Das T.
europepmc +1 more source
This paper presents a digital microfluidics‐based technique for transferring and reconfiguring soft nanomembranes. Laser‐machined nanothin membranes are picked up, transported, and aligned via tailored surface tension and the actuation of water droplets, enabling the development of flexible electronics, the integration of functional materials on 3D ...
Quang Anh Nguyen +15 more
wiley +1 more source
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications. [PDF]
Mohammadi M +6 more
europepmc +1 more source
First vacuum formed spherical triboelectric converter for 3D‐omnidirectional ultrasonic energy receiving, with configurable DC or pulse outputs for versatile applications. ABSTRACT Ultrasound‐driven triboelectric nanogenerators (UD‐TENGs) have emerged as promising ultrasonic energy converters for underwater and biomedical applications.
Yanqin Huang +12 more
wiley +1 more source
Adaptive Compressed Sensing Differential Privacy Federated Learning Based on Orbital Spatiotemporal Characteristics in Space-Air-Ground Networks. [PDF]
Li W, Li L, Zhu L.
europepmc +1 more source
In this report, a self‐adaptive anhydrous passivation strategy is introduced by incorporating trimellitic anhydride (TMAH) into the perovskite precursor. In situ hydrolysis of TMAH yields trimellitic acid (TMA); ‐C═O/‐COO− groups of TMAH/TMA form a chelate with undercoordinated Pb2+/Sn2+, regulate nucleation, promote (100) orientation, passivate ...
Md. Ataur Rahman +6 more
wiley +1 more source
An adaptive differential privacy framework for clinical llms with context-aware noise calibration, hierarchical budgeting, and real-time auditing. [PDF]
Alghamdi AD.
europepmc +1 more source
Terminal groups on Cu porphyrins modulate the electronic states of single‐atom Cu centers through a long‐range electronic effect, without altering the Cu coordination geometry. Meanwhile, a multi‐descriptor framework is established that incorporates porphyrin regulation, hybrid catalyst properties, and CO2 photoreduction capabilities.
Yi Zhang +13 more
wiley +1 more source
Integrating differential privacy into federated multi-task learning algorithms in <b>dsMTL</b>. [PDF]
Schefzik R +5 more
europepmc +1 more source
Natural differential privacy-a perspective on protection guarantees. [PDF]
Altman M, Cohen A.
europepmc +1 more source

