Collaborative machine learning, especially Federated Learning (FL), is widely used to build high-quality Machine (ML) models in the Internet of Vehicles (IoV). In this paper, we study performance evaluation problem an inherently heterogeneous IoV, where final across network are not identical and computed on different standards. Previous studies assume that local agents receiving data from same ...

This paper explores the possibility of enhancing the decision-making capability of a decentralized sensor network by establishing cooperative behavior among sensor agents. For that purpose, it was necessary to devise a robust consensus mechanism that distributes sensing information through local fusing with neighbors rather than through a centralized control. This paper proposed a novel particl...

Federated learning allows multiple participants to collaboratively train an efficient model without exposing data privacy. However, this distributed machine training method is prone attacks from Byzantine clients, which interfere with the of global by modifying or uploading false gradient. In article, we propose a novel serverless federated framework <italic xmlns:mml="http://www.w3.org/1998/Ma...

Software architecture discovery plays an increasingly important role in the evolution, maintenance, and runtime self-adaptation of modern software systems whose architecture may have become outdated or may not have previously existed. However, current approaches to architecture discovery take a centralized approach, in which the process is carried out from a single location. This proves inadequ...

Overlay networks are central to the operation of large-scale decentralized applications, be it Internet-scale P2P systems deployed in the wild or cloud applications running in a controlled—albeit large-scale—environment. A number of custom solutions exist for individual applications, each employing a tailormade mechanism to build and maintain its specific structure. This paper addresses the rol...

One of the current trends in computer science leads to the design of computing organizations based on the activity of a multitude of tiny cheap decentralized computing entities. Whether these chips are integrated into paintings or disseminated in open environments like dust, the fundamental problem lies in their cooperative operation so that global functions are obtained collectively. In this p...

Decentralized Object Location and Routing: A New Networking Paradigm

Expert networks are formed by a group of expert-professionals with different specialties to collaboratively resolve specific queries posted to the network. In such networks, when a query reaches an expert who does not have sufficient expertise, this query needs to be routed to other experts for further processing until it is completely solved; therefore, query answering efficiency is sensitive ...

Introduction / objectives Regional network formation is an integral part of any strategy to combat antimicrobial resistance development, as recommended by the German Antimicrobial Resistance Strategy (DART). But no information about the adequate organization in decentralized health systems such as Germany is given. Here, we report on the `Hygienenetzwerk Südostniedersachsen ́ (HN-SON), a region...