Zobrazeno 1 - 10
of 6 986
pro vyhledávání: '"Assen AS"'
Autor:
Feng, Chao, Guan, Hongjie, Celdrán, Alberto Huertas, von der Assen, Jan, Bovet, Gérôme, Stiller, Burkhard
Federated Learning (FL) performance is highly influenced by data distribution across clients, and non-Independent and Identically Distributed (non-IID) leads to a slower convergence of the global model and a decrease in model effectiveness. The exist
Externí odkaz:
http://arxiv.org/abs/2410.07678
Autor:
Borislav Grigorov, Nikolay Velev, Assen Assenov, Momchil Nazarov, Mladen Gramatikov, Beloslava Genova, Kiril Vassilev
Publikováno v:
Journal of the Bulgarian Geographical Society, Vol 44, Iss , Pp 21-24 (2021)
The current research focuses on the investigation of shrubland vegetation in Dragoman municipality. The study is motivated by the willingness of the authors to check the shrubland habitats’ territorial extent and their importance to ecosystem proce
Externí odkaz:
https://doaj.org/article/8cb23dddd09b47849b49d92046c5580e
Autor:
Feng, Chao, Celdrán, Alberto Huertas, Zeng, Zien, Ye, Zi, von der Assen, Jan, Bovet, Gerome, Stiller, Burkhard
Decentralized Federated Learning (DFL), a paradigm for managing big data in a privacy-preserved manner, is still vulnerable to poisoning attacks where malicious clients tamper with data or models. Current defense methods often assume Independently an
Externí odkaz:
http://arxiv.org/abs/2409.19302
Verifying the integrity of embedded device characteristics is required to ensure secure operation of a device. One central challenge is to securely extract and store device-specific configurations for future verification. Existing device attestation
Externí odkaz:
http://arxiv.org/abs/2407.14286
Autor:
Jürgens, Boyung, Seele, Hagen, Schricker, Hendrik, Reinert, Christiane, von der Assen, Niklas
Stochastic programming is widely used for energy system design optimization under uncertainty but can exponentially increase the computational complexity with the number of scenarios. Common scenario reduction techniques, like moments-matching or dis
Externí odkaz:
http://arxiv.org/abs/2407.11457
Autor:
Feng, Chao, Celdrán, Alberto Huertas, von der Assen, Jan, Beltrán, Enrique Tomás Martínez, Bovet, Gérôme, Stiller, Burkhard
Federated Learning (FL) has emerged as a promising approach to address privacy concerns inherent in Machine Learning (ML) practices. However, conventional FL methods, particularly those following the Centralized FL (CFL) paradigm, utilize a central s
Externí odkaz:
http://arxiv.org/abs/2407.08652
Publikováno v:
Acta Geobalcanica, Vol 6, Iss 3, Pp 117-125 (2020)
The present investigation aims to uncover the landscape diversity in Dragoman Municipality, as well as the ecosystem types, which are representative for the territory. The interest towards this geographical area roots in its close proximity to the ca
Externí odkaz:
https://doaj.org/article/56ee8590cddf4a60822100800d02af6f
Autor:
Kiril Vassilev, Hristo Pedashenko, Alexandra Alexandrova, Alexandar Tashev, Anna Ganeva, Anna Gavrilova, Armin Macanović, Assen Assenov, Antonina Vitkova, Beloslava Genova, Borislav Grigorov, Chavdar Gussev, Ermin Masic, Eva Filipova, Gana Gecheva, Ina Aneva, Illona Knolova, Ivaylo Nikolov, Georgi Georgiev, Georgi Gogushev, Georgi Tinchev, Ivan Minkov, Kalina Pachedzieva, Katerina Mincheva, Koycho Koev, Mariyana Lyubenova, Marius Dimitrov, Media Gumus, Momchil Nazarov, Nadezhda Apostolova-Stoyanova, Nikolay Nikolov, Nikolay Velev, Petar Zhelev, Plamen Glogov, Rayna Natcheva, Rossen Tzonev, Senka Barudanović, Sofia Kostadinova, Steffen Boch, Stephan Hennekens, Stoyan Georgiev, Stoyan Stoyanov, Todor Karakiev, Tijana Ilić, Veronika Kalníková, Veselin Shivarov, Vladimir Vulchev
Publikováno v:
Vegetation Classification and Survey (VCS), Vol 1, Iss , Pp 151-153 (2020)
The Balkan Vegetation Database (BVD; GIVD ID: EU-00-019) is a regional database, which was established in 2014. It comprises phytosociological relevés covering various vegetation types from nine countries of the Balkan Peninsula (Albania – 153 rel
Externí odkaz:
https://doaj.org/article/b247f73bf4dc4856850500e29f8e2019
Threat modeling has been successfully applied to model technical threats within information systems. However, a lack of methods focusing on non-technical assets and their representation can be observed in theory and practice. Following the voices of
Externí odkaz:
http://arxiv.org/abs/2406.01135
The advent of Decentralized Physical Infrastructure Networks (DePIN) represents a shift in the digital infrastructure of today's Internet. While Centralized Service Providers (CSP) monopolize cloud computing, DePINs aim to enhance data sovereignty an
Externí odkaz:
http://arxiv.org/abs/2404.08306