..., the authors use Federated Learning Algorithm Based On Matrix Mapping For Data Privacy over Edge Computing. Findings By using Softmax layer probability distribution for model byzantine tolerance can be increased from 40% to 45% in the blocking-convergence attack, and the edge backdoor attack can be stopped...

.... In this study, we look into how federated learning can be used in edge computing to learn about multi-user features without revealing the user’s personal information. In Figure 1 , you can see the system’s main structure. System: The system has edge nodes, Internet of Things (IoT) and cloud servers. Edge nodes...

... of IIBES with the existing system and to provide security analysis for the same and the proposed system can be used for the security in federated learning. Findings Furthermore, it can be implemented using other encryption/decryption algorithms like elliptic curve cryptography (ECC) to compare...

... Limited Licensed re-use rights only SSD Federated learning Security Data sharing Efficiency CSP API Cloud storage In past few years, there has been phenomenal growth of network platforms including cloud computing; networking platforms are based on demand data services and access...

... the anchor node and the unknown node, the location of the unknown node may be determined using either the trilateral technique or the maximum probability estimate approach, depending on the circumstances using federated learning. Findings Improvisation of localization for wireless sensor network has...

... threats of botnets to the home and personal Internet of Things (IoT), especially for the objective problem of insufficient resources for anomaly detection in the home environment, a novel kernel density estimation-based federated learning-based lightweight Internet of Things anomaly traffic detection...

... allowing for fine-grained access control. According to an analysis of security needs, this work fulfills the privacy and integrity of health information using federated learning. Originality/value The Internet of Things (IoT) technology and smart diagnostic implants have enhanced health-care systems...

... information with a neighboring sensor and sends it to the Fog server integrated with federated learning, which encrypts data to the existing data. The fog server performs the operations on the measured data, and the values are stored in the local storage area and later it is updated to the cloud server...

... preferences using a real-time map. Genetic algorithm Vehicle routing problem Transportation system Federated learning Geographical information systems The vehicle routing problem (VRP) is one of the most challenging multi-objective optimization problems in transportation systems because of its...