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pro vyhledávání: '"A. Hendrikx"'
Distributed approaches have many computational benefits, but they are vulnerable to attacks from a subset of devices transmitting incorrect information. This paper investigates Byzantine-resilient algorithms in a decentralized setting, where devices
Externí odkaz:
http://arxiv.org/abs/2410.10418
Distributed approaches have many computational benefits, but they are vulnerable to attacks from a subset of devices transmitting incorrect information. This paper investigates Byzantine-resilient algorithms in a decentralized setting, where devices
Externí odkaz:
http://arxiv.org/abs/2405.03449
Autor:
Hendrikx, Hadrien
Mirror Descent is a popular algorithm, that extends Gradients Descent (GD) beyond the Euclidean geometry. One of its benefits is to enable strong convergence guarantees through smooth-like analyses, even for objectives with exploding or vanishing cur
Externí odkaz:
http://arxiv.org/abs/2404.12213
The Gaussian Mechanism (GM), which consists in adding Gaussian noise to a vector-valued query before releasing it, is a standard privacy protection mechanism. In particular, given that the query respects some L2 sensitivity property (the L2 distance
Externí odkaz:
http://arxiv.org/abs/2308.15250
Gradient clipping is a popular modification to standard (stochastic) gradient descent, at every iteration limiting the gradient norm to a certain value $c >0$. It is widely used for example for stabilizing the training of deep learning models (Goodfe
Externí odkaz:
http://arxiv.org/abs/2305.01588
In data-parallel optimization of machine learning models, workers collaborate to improve their estimates of the model: more accurate gradients allow them to use larger learning rates and optimize faster. In the decentralized setting, in which workers
Externí odkaz:
http://arxiv.org/abs/2301.02151
Publikováno v:
Frontiers in Immunology, Vol 15 (2024)
Externí odkaz:
https://doaj.org/article/229e2945aba74843a0ef50f1ab2ec0f9
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 24, Pp 1779-1793 (2024)
Avalanche risk assessment is complex and challenging, with terrain assessment as one of the most fundamental factors. To aid people's terrain assessment, Parks Canada developed the Avalanche Terrain Exposure Scale (ATES), a system that classifies the
Externí odkaz:
https://doaj.org/article/2b39dd38273340f79cf6b47a988c0665
Autor:
Hinke Siebinga, Berlinda J. de Wit-van der Veen, Daphne M. V. de Vries-Huizing, Wouter V. Vogel, Jeroen J. M. A. Hendrikx, Alwin D. R. Huitema
Publikováno v:
EJNMMI Physics, Vol 11, Iss 1, Pp 1-24 (2024)
Abstract Background There is an unmet need for prediction of treatment outcome or patient selection for [177Lu]Lu-PSMA therapy in patients with metastatic castration-resistant prostate cancer (mCRPC). Quantification of the tumor exposure–response r
Externí odkaz:
https://doaj.org/article/8fff240eb4dd480799fca12f85a0fb21
Autor:
Elke A. van Brandwijk, Else A. Aalbersberg, Arman S. Hosseini, Alwin D. R. Huitema, Jeroen J. M. A. Hendrikx
Publikováno v:
EJNMMI Radiopharmacy and Chemistry, Vol 9, Iss 1, Pp 1-12 (2024)
Abstract Background Steps have been taken by pharmaceutical companies to obtain marketing authorisation of PSMA ligands in the European Union. Since December 2022, Locametz® (PSMA-11, gozetotide) is licensed as kit for manual radiolabelling with gal
Externí odkaz:
https://doaj.org/article/d1af9e6243bf4d65b83e51713dbb1b7c