Distributed Computing (2022) 35:305–331 https://doi.org/10.1007/s00446-022-00427-9 Genuinely distributed Byzantine machine learning El-Mahdi El-Mhamdi1 · Rachid Guerraoui1 · Arsany Guirguis1 · Lê-Nguyên Hoang1 · Sébastien Rouault1 Received: 1 December 2020 / Accepted: 11 April 2022 ...
Network Coding requires computing within the network, as coding does not only happen at the end nodes. Every intermediate node is able to recode information, which requires computation capabilities within the network. As explained later in its dedicated chapter, NC will achieve the min-cut max-...
This paper has presented the structure of a second year distributed computing course offered by the School of Computer Science of the University of Manchester for the last decade. The approach tried to build on four main pillars at a high-level of abstraction, which allowed the introduction of ...
Now this is not a question you ask in local programming. You invoke a method and an object. You don't ask, "Did it get there?" The question doesn't make any sense. But it isthequestion of distributed computing. So considering the fact that I can invoke a method on you and not kn...
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A distributed transaction refers to a set of related operations involving two or more networked nodes that provide resources used and updated by these operations. It enables fault tolerance and rollback capability in social dispersed computing applications. ...
3. The combination of AI and quantum computing. It now appears likely that applications like our synthetic genius machine will be viable within five years at the more advanced levels that require quantum computing. While this application may not achieve artificial general intelligence, it could perha...
Our approach of computing the paragraph vectors via gradient descent bears resemblance to a successful paradigm in computer vision (Perronnin & Dance, 2007; Perronnin et al., 2010) known as Fisher kernels (Jaakkola & Haussler, 1999). The basic construction of Fisher kernels is the gradient vector...
Cloud computing: This I4.0 feature involves the storage of useful information by manufacturers in a secure manner such that the data is accessible with the aid of computerised applications to enable better structured ERP [16]. viii. 3D printing: This I4.0 feature enables manufacturers to produce...
On the other hand, a bank of model predictive controllers is in charge of computing the more adequate control action for each involved vehicle. Such tasks are here combined into a single framework: the deep reinforcement learning output (action) is translated into a set-point to be tracked by...