Ensemble methods for collective intelligence: Combining ubiquitous ml models in iot

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Programming distributed collective processes for dynamic ensembles and collective tasks

G Audrito, R Casadei, F Damiani, G Torta… - … Languages and Models, 2023 - Springer
Recent trends like the Internet of Things (IoT) suggest a vision of dense and multi-scale
deployments of computing devices in nearly all kinds of environments. A prominent …
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Programming distributed collective processes in the exchange calculus

G Audrito, R Casadei, F Damiani, G Torta… - arxiv preprint arxiv …, 2024 - arxiv.org
Recent trends like the Internet of Things (IoT) suggest a vision of dense and multi-scale
deployments of computing devices in nearly all kinds of environments. A prominent …
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ENSIOT: A Stacking Ensemble Learning Approach for IoT Device Identification

K Niu, S Liu, L Yi, X Deng, S Chen… - 2024 IEEE/ACM …, 2024 - ieeexplore.ieee.org
In order to resist network attacks on IoT devices, identifying IoT devices is the first step for
ensuring device security. The traditional passive method identifies IoT devices by mining the …
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Enhance the Detection of DoS and Brute Force Attacks within the MQTT Environment through Feature Engineering and Employing an Ensemble Technique

AA Hanif, M Ilyas - arxiv preprint arxiv:2408.00480, 2024 - arxiv.org
The rapid development of the Internet of Things (IoT) environment has introduced
unprecedented levels of connectivity and automation. The Message Queuing Telemetry …
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LEAP: Lifelong Learning Edge-Cloud Adaptive Fused Framework for Mobility Prediction

S Al-Ameen, B Sudharsan, R Al-Taie… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Accurate mobility prediction has become pivotal for a wide range of smart city applications
including optimizing electric vehicles (EV) charging management, traffic management …
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Trustworthy Distributed Deep Neural Network Training in an Edge Device Network

SS Shubha, H Shen - … Conference on Big Data (Big Data), 2022 - ieeexplore.ieee.org
With the increased usage of edge devices having local computation capabilities, deep
neural network (DNN) training in a network of edge devices becomes promising. Several …
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[SITAATTI][C] On-Device Learning, Optimization, Efficient Deployment and Execution of Machine Learning Algorithms on Resource-Constrained IoT Hardware

B Sudharsan - 2022
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