Efficient Data Aggregation in Smart Grids: A Personalized Local Differential Privacy Scheme. [PDF]
Song H +5 more
europepmc +1 more source
Ethical Precision in Nanoscale Brain Interfacing
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley +1 more source
Minimax density estimation in the adversarial framework under local differential privacy [PDF]
We consider the problem of nonparametric density estimation under privacy constraints in an adversarial framework. To this end, we study minimax rates under local differential privacy over Sobolev spaces.
Albert, Mélisande +3 more
core
Assessing Local Differential Privacy for Compliance with the Personal Data Protection Law in Integrated Data Systems. [PDF]
Aljably R.
europepmc +1 more source
Sustainable Materials Design With Multi‐Modal Artificial Intelligence
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu +8 more
wiley +1 more source
Early Retinal UCHL1 Dysregulation Coupled With Synaptic Loss Reflects Alzheimer's Disease Severity
This study identifies synapse‐enriched deubiquitinase UCHL1 as an early Aβ‐responsive regulator of retinal synaptopathy in Alzheimer's disease. Retinal UCHL1 loss accompanies excitatory synapse degeneration, p75NTR activation, and neuroinflammation, and predicts Braak stage and cognitive decline. Aβ42 fibrils trigger synaptic and UCHL1 depletion before
Altan Rentsendorj +25 more
wiley +1 more source
Models Matter: Setting Accurate Privacy Expectations for Local and Central Differential Privacy [PDF]
Differential privacy is a popular privacy-enhancing technology that has been deployed both in industry and government agencies. Unfortunately, existing explanations of differential privacy fail to set accurate privacy expectations for data subjects ...
Smart, Mary Anne +4 more
core
ALDP-FL for adaptive local differential privacy in federated learning. [PDF]
Cui L, Wu X.
europepmc +1 more source
Multidimensional laser‐induced graphene (LIG) spanning from 0D to 3D architectures is comprehensively reviewed for multifunctional biomedical platforms, including biosensing, theranostics, and bioactive interface applications, which highlights its potentials for point‐of‐care diagnostics, wearable health monitoring, smart drug delivery, and tissue ...
Li Zhang +3 more
wiley +1 more source
Blockchain Based Secure Federated Learning With Local Differential Privacy and Incentivization. [PDF]
DE Chaudhury S +7 more
europepmc +1 more source

