Aiming at the performance degradation of existing federated learning algorithms in non-IID image classification tasks, a method of improving SRGAN and dynamically balancing the distribution of client data sets is prop...
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the proceedings contain 33 papers. the topics discussed include: network emulation in large-scale virtual edge testbeds: a note of caution and the way forward;an end-to-end framework for benchmarking edge-cloud cluste...
ISBN:
(纸本)9781665491150
the proceedings contain 33 papers. the topics discussed include: network emulation in large-scale virtual edge testbeds: a note of caution and the way forward;an end-to-end framework for benchmarking edge-cloud cluster management techniques;decentralized computation market for stream processing applications;efficient transmission and reconstruction of dependent data streams via edge sampling;get your memory right: the crispy resource allocation assistant for large-scale data processing;streaming vs. functions: a cost perspective on cloud event processing;Fusionize: improving serverless application performance through feedback-driven function fusion;pay-as-you-train: efficient ways of serverless training;and magpie: automatically tuning static parameters for distributed file systems using deep reinforcement learning.
Microservice architectures are an emerging paradigm for developing event-driven applications. By prescribing that an application is decomposed into small and independent components, each encapsulating its own state an...
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the proceedings contain 55 papers. the topics discussed include: blockchain: distributedevent-based processing in a data-centric world;the customer experience case: the needle in the haystack;reflections on almost tw...
ISBN:
(纸本)9781450350655
the proceedings contain 55 papers. the topics discussed include: blockchain: distributedevent-based processing in a data-centric world;the customer experience case: the needle in the haystack;reflections on almost two decades of research into stream processing;new direction paper: considering human factors in the development of situation-aware CEP applications;new direction paper: modeling aggregate input load of interoperable smart city services;minimizing communication overhead in window-based parallel complex event processing;low-latency sliding-window aggregation in worst-case constant time;PopSub: improving resource utilization in distributed content-based publish/subscribe systems;maximizing determinism in stream processing under latency constraints;and automatic learning of predictive CEP rules: bridging the gap between data mining and complex event processing.
In a large-scale cluster, correlated failures usually involve a number of nodes failing simultaneously. Although correlated failures occur infrequently, they have significant effect on systems' availability, espec...
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Enabling real-time processing of financial data streams is extremely challenging, especially considering that typical operations that interest investors often require combining data across (a potentially quadratic num...
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distributed deep learning is becoming increasingly important due to the size of deep neural networks. the sheer volume of the input datasets used in the process can have a significant negative effect on the training t...
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the proceedings contain 103 papers. the topics discussed include: web application based text encryption;improving classifier efficiency by expanding number of functions in the dataset;brain tumor classification using ...
ISBN:
(纸本)9781450396752
the proceedings contain 103 papers. the topics discussed include: web application based text encryption;improving classifier efficiency by expanding number of functions in the dataset;brain tumor classification using machine learning and deep learning algorithms: a comparison classifying brain MRI images on the basis of location of tumor and comparing the various machine learning and deep learning models used to predict best performance;identification of undamaged buildings after the event of disaster using deep learning;SVM and logistic regression for facial palsy detection utilizing facial landmark features;implementation of zero-phase zero frequency resonator algorithm on FPGA;an exhaustive investigation on resource-aware client selection mechanisms for cross-device federated learning;advanced malware and their impact on virtualization: a case study on hybrid feature extraction using deep memory introspection;and achieving multilevel elasticity for distributed stream processing systems in the cloud environment: a review and conceptual framework.
Video streams are becoming ubiquitous in smart cities and traffic monitoring. Recent advances in computer vision with deep neural networks enable querying a rich set of visual features from these video streams. Howeve...
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In this paper, the finite-time stability (FTS) and finite-time contractive stability (FTCS) are considered for linear time-delay system via sampled-data-basedevent-triggered control. By using the Lyapunov-Razumikhin ...
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