Federated cloudPurpose As the storage and processing requirement of digital information is increasing on the cloud, it is very difficult for the single cloud provider (CP) to meet the resource requirement. Multiple providers form a federation for the execution of users' requests. For the federated...
Moreover, the semantics of delegation need to be explored for federated cloud as the unique nature of operations needs a fine-grained selection of delegation characteristics [7], [8]. Various delegation models are present in literature for basic cloud infrastructure, but the semantics of delegation...
The use of cloud-edge technology creates significant potential for cost reduction, efficiency and resource management. These features have encouraged users and organizations to use intelligence federated cloud-edge paradigm in Internet of Things (IoT). Human Resource Management (HRM) is one of the imp...
[9], present an abstract formalization of federated Towards a Formal Model for Cloud Computing 383 cloud workflows using the Z notation. They define various rule based properties to restrict valid options with respect to: security and cost constraints. T. Binz et al. [10], propose Enterprise ...
revenue according to the amount of computational resources contributed to the federation. 3- The presence of unknown and untrusted participants in a federation can degrade the QoS of the federated services [16]. The trust issue limits conventional federations to enroll only trusted providers and ...
Cloud computing is of growing interest due to its potential for delivering cheap, scalable storage and processing. However, cloud security is a major area of concern that is restricting its use for certain applications: “Data Confidentiality and Auditability” is cited as one of the top ten obst...
This business model for the Cloud is consistent with broker mediated supply and service delivery chains in other commodity sectors such as finance and manufacturing. Concreteness is added to the federated Cloud model by considering how it works in delivering the Weather Research and Forecasting service...
Federated learning is an emerging machine learning approach that allows the construction of a model between several participants who hold their own private data. This method is secure and privacy-preserving, suitable for training a machine learning model using sensitive data from different sources, such...
reinforcement-learningseq2seqimage-captioningllamagemmadifferential-privacymamlmodel-parallelismmeta-learningdistributed-trainingppofederated-learningjaxmixed-precisiondiffusion-modelsmlsysfedavglarge-language-modelsstable-diffusionflan-t5-xxl UpdatedDec 9, 2024 ...
In the realm of deep learning applications, researchers have explored various aspects of anomaly detection models, as summarized by Chalapathy et al. [9]. Furthermore, Yin et al. [10] introduced an enhanced mobile edge computing solution that combines federated learning with the CNN algorithm. ...