Results 141 to 150 of about 254,345 (274)
Dynamic differential privacy technique for deep learning models. [PDF]
Elabd E.
europepmc +1 more source
Secure Random Sampling in Differential Privacy
Naoise Holohan, Stefano Braghin
openalex +2 more sources
Graphene nanoplatelet (0.1 wt.%) reinforcement significantly enhances the performance of β Ti‐28Nb‐35.4Zr alloy. Grain refinement, reduced water contact angle, and improved surface characteristics promote osteoblast adhesion and complete surface coverage after 7 days.
Khurram Munir +5 more
wiley +1 more source
Splitting smarter: Differential privacy for secure healthcare federated learning. [PDF]
Onireti MY, Shukla RM, Das T.
europepmc +1 more source
Truncated Laplacian Mechanism for Approximate Differential Privacy. [PDF]
Quan Geng +3 more
openalex
IFed: A novel federated learning framework for local differential privacy in Power Internet of Things [PDF]
Hui Cao +3 more
openalex +1 more source
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar +7 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
Natural differential privacy-a perspective on protection guarantees. [PDF]
Altman M, Cohen A.
europepmc +1 more source
Impact of federated data with local differential privacy for human mobility modeling
Hamish Nigel Gibbs +3 more
openalex +1 more source

