Privacy Preservation in Distributed Subgradient Optimization Algorithms

In this paper, some privacy-preserving features for distributed subgradient optimization algorithms are considered. Most of the existing distributed algorithms focus mainly on the algorithm design and convergence analysis, but not the protection of agents' privacy. Privacy is becoming an increa...

Celý popis

Podrobná bibliografie

Vydáno v:	IEEE transactions on cybernetics Ročník 48; číslo 7; s. 2154 - 2165
Hlavní autoři:	Lou, Youcheng, Yu, Lean, Wang, Shouyang, Yi, Peng
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	United States IEEE 01.07.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Algorithm design and analysis Algorithms Asynchronous optimization Convergence Distributed algorithms distributed optimization heterogeneous-stepsize Heuristic algorithms Linear programming Optimization Optimization algorithms Privacy privacy preservation
ISSN:	2168-2267, 2168-2275, 2168-2275
On-line přístup:	Získat plný text
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!