Results 201 to 210 of about 306,356 (268)

Recent advances in defending the privacy attacks of large language models for healthcare applications: a concise review. [PDF]

Front Artif Intell
Aroua R, Kammoun I, Louati MA, Adjeroh DA, Duan T.   +4 more
europepmc   +1 more source

Integrating differential privacy into federated multi-task learning algorithms in <b>dsMTL</b>. [PDF]

Bioinform Adv
Schefzik R, Cao H, Rajan S, Escribà-Montagut X, González JR, Schwarz E.   +5 more
europepmc   +1 more source

An adaptive differential privacy framework for clinical llms with context-aware noise calibration, hierarchical budgeting, and real-time auditing. [PDF]

Sci Rep
Alghamdi AD.
europepmc   +1 more source

Automating differentially private tabular data synthesis via Bayesian optimization. [PDF]

Sci Rep
Pang S, Yin Y, Yang W, Feng Z, Tian X, Yang X.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Adaptive Current Differential Protection Schemes for Transmission-Line Protection

IEEE Transactions on Power Delivery, 2009
Throughout the history of power system protection, researchers have strived to increase sensitivity and speed of apparatus protection systems without compromising security. With the significant technological advances in wide-area measurement systems, for transmission system protection, current differential protection scheme outscores alternatives like ...
Sanjay Dambhare, S A Soman, M C Chandorkar   +2 more
exaly   +3 more sources

Ground-Differential Protection Revisited

IEEE Industry Applications Magazine, 2000
The use of ground differential for the protection of impedance-grounded transformers and generators has been increasing. Because of its inherent selectivity and speed of operation, ground differential provides excellent protection against ground faults within the grounded winding of the equipment.
N.T. Stringer, G. Dalke
openaire   +1 more source

Differentiated Protection in 5G Vehicular Networks

2020 AEIT International Conference of Electrical and Electronic Technologies for Automotive (AEIT AUTOMOTIVE), 2020
Automotive applications need high reliability and service continuity to support self-driving and safety in smart city environments. Suitable allocation of network functions is studied and optimal solutions based on Integer Linear Programming methodology are found. Differentiated reliability concept is applied in the presence of two different 5G classes
Amato E., Tonini F., Raffaelli C.
openaire   +2 more sources