Results 41 to 50 of about 173,013 (245)

RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets

, 2019
In this paper, we propose a class of robust stochastic subgradient methods for distributed learning from heterogeneous datasets at presence of an unknown number of Byzantine workers.
Chen, Tianyi, Giannakis, Georgios B., Li, Liping, Ling, Qing, Xu, Wei   +4 more
core   +1 more source

Geophysical Investigations at the Artemision at Amarynthos of Euboea (Greece)

Archaeological Prospection, EarlyView.
ABSTRACT A combination of resistivity mapping and three‐dimensional electrical resistivity tomography (ERT) was used to investigate the subsurface of the sanctuary of Artemis Amarysia in Amarynthos, Euboea (Greece), an area where archaeological remains from the Bronze Age to the post‐Byzantine period are preserved.
G. N. Tsokas, P. I. Tsourlos, G. Vargemezis, T. Krapf, Th. Theurillat, C. Polydoropoulos   +5 more
wiley   +1 more source

Fundamentalismul religios și noul conflict al ideologiilor [PDF]

Polis: Revista de Stiinte Politice, 2017
Review by Lucian-Zeev ...
Lucian-Zeev Herșcovici
doaj  

Byzantine Attack and Defense in Cognitive Radio Networks: A Survey

, 2015
The Byzantine attack in cooperative spectrum sensing (CSS), also known as the spectrum sensing data falsification (SSDF) attack in the literature, is one of the key adversaries to the success of cognitive radio networks (CRNs).
Ding, Guoru, Han, Zhu, Wang, Jinlong, Wu, Qihui, Zhang, Linyuan, Zou, Yulong   +5 more
core   +1 more source

Professor Oktawiusz Jurewicz as a Byzantinist (1926–2016) [PDF]

, 2016
The authors summarize the academic legacy of late Oktawiusz Jurewicz and his role as a leading Polish byzantinist of the second half of the 20th century.
Kompa, Andrzej, Leszka, Mirosław J.
core   +1 more source

Archaeological Damage Assessment in Conflict Zones: Integrating Satellite Imagery and Ground Surveys in Daraa, Syria

Archaeological Prospection, EarlyView.
ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem, Kristen Hopper, Ismael M. Ibraheem, Andreas Maier, Mohammad Khair Nassrallah, Jürgen Richter   +5 more
wiley   +1 more source

Macrides, Munitiz and Angelov, Pseudo-Kodinos and the Constantinopolitan Court: Offices and Ceremonies (Ashgate, 2013)

Royal Studies Journal, 2015
Review of Ruth Macrides, J.A. Munitiz and Dimiter Angelov, Pseudo-Kodinos and the Constantinopolitan Court: Offices and Ceremonies (Farnham: Ashgate, 2013).
Alexandra Karagianni
doaj   +1 more source

Genuinely Distributed Byzantine Machine Learning

, 2020
Machine Learning (ML) solutions are nowadays distributed, according to the so-called server/worker architecture. One server holds the model parameters while several workers train the model.
Abadi Martín, Abraham Ittai, Alistarh Dan, Biggio Battista, Castro Miguel, Chen Lingjiao, Chilimbi Trishul M, El Mhamdi El Mahdi, Hecht-Nielsen Robert, Hsieh Kevin, Li Mu, Rajput Shashank, Xie Cong   +12 more
core   +1 more source

On Byzantine Broadcast in Loosely Connected Networks [PDF]

, 2012
We consider the problem of reliably broadcasting information in a multihop asynchronous network that is subject to Byzantine failures. Most existing approaches give conditions for perfect reliable broadcast (all correct nodes deliver the authentic ...
A. Pelc, D. Dolev, D. Malkhi, D. Malkhi, H. Attiya, L. Lamport, M. Nesterenko, S. Dubois, S. Dubois, S. Dubois, T. Masuzawa, T. Masuzawa, Y. Minsky, Y. Sakurai   +13 more
core   +2 more sources

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source