Titlebook: Distributed Computing and Artificial Intelligence, 20th International Conference; Sascha Ossowski,Pawel Sitek,Sara Rodríguez Conference pr

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,Adaptive Learning from?Peers for?Distributed Actor-Critic Algorithms,s such as face recognition, health tracking, recommender systems, and smart homes. Cooperation among networked agents by sharing and aggregating their model parameters can benefit considerably the learning performance. However, agents may have different objectives and unplanned cooperation may lead

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,Detection of?Infostealer Variants Through Graph Neural Networks,n and stored in a database. However, threat actors try to generate new strains/variants of existing malware, by obfuscating or modifying part of the code to evade antivirus engines. One of the most common malicious programs are infostealers, which aim to obtain personal or banking information from a

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,Distributed Control for?Traffic Light in Smart Cities: Parameters and Algorithms,tion can have a domino effect on subsequent junctions, and good communication can allow for better coordination and optimisation of traffic throughout the system. Traffic control algorithms must know the parameters to determine how distributed the control should be, and the distance the information

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,A Novel System Architecture for?Anomaly Detection for?Loan Defaults,for risk management. This paper proposes an early warning system architecture using anomaly detection based on the unbalanced nature of loan default data in the real world. Most customers do not default on their loans; only a tiny percentage do, resulting in an unbalanced dataset. We aim to evaluate

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