• Suche: Distributed Machine Learning with Python

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221

An intelligent protection scheme for DC networks using a machine learning-based multi-agent platform.
Esmaeilbeigi, Saman ; Kazemi Karegar, Hossein ; Akbarisharif, Amirhossein
Scientific Reports; 9/26/2025, Vol. 15 Issue 1, p1-34, 34p

MACHINE learning MICROGRIDS FAULT diagnosis COMPUTER network protoco... ARTIFICIAL neural networ... MULTIAGENT systems
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222

A Case Study on Virtual HPC Container Clusters and Machine Learning Applications.
Krogulski, Piotr ; Rak, Tomasz
Applied Sciences (2076-3417); Jul2025, Vol. 15 Issue 13, p7433, 32p

HIGH performance computi... MACHINE learning CONTAINER design & const... PARALLEL programming ADAPTIVE computing syste... ANOMALY detection (Compu... …
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223

A Time-Continuous Federated Learning Framework for Enabling Intelligent Applications Over Latency-Critical Aerial Networks
Shinde, Swapnil Sadashiv ; Tarchi, Daniele
2024 IEEE Wireless Communications and Networking Conference (WCNC). :1-6

Training Performance evaluation 6G mobile communication Costs Federated learning Parallel processing …
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224

Semi-Dynamic Load Balancing: Efficient Distributed Learning in Non-Dedicated Environments
Chen, Chen ; Weng, Qizhen ; Wang, Wei ; et al.

Computer Science - Distr... Computer Science - Artif... Computer Science - Machi... Computer Science - Perfo...
Report
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225

secml: Secure and explainable machine learning in Python
Pintor, Maura ; Demetrio, Luca ; Sotgiu, Angelo ; et al.
In SoftwareX June 2022 18

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227

Deep Learning-powered DDoS Attack Mitigation for Cloud Infrastructure.
T., Abida ; Shanmugapriya, M.
International Journal of Environmental Sciences (2229-7359); 2025 Special Issue, Vol. 11, p933-937, 5p

DEEP learning DENIAL of service attack... FEATURE selection ANOMALY detection (Compu... STATISTICAL reliability CLOUD computing
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228

NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks
Tajs, Patryk ; Skarupski, Mateusz ; Rydzewski, Jakub

Physics - Chemical Physi...
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229

Amp: A modular approach to machine learning in atomistic simulations
Khorshidi, Alireza ; Peterson, Andrew A.
In Computer Physics Communications October 2016 207:310-324

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230

Efficient Parallel Reinforcement Learning Framework using the Reactor Model
Kwok, Jacky ; Lohstroh, Marten ; Lee, Edward A.

Computer Science - Distr... Computer Science - Machi...
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231

Comparación de técnicas distribuidas de aprendizaje automático aplicadas a datos médicos disponibles en abierto ; Comparison of distributed machine learning techniques applied to openly available medical data
Melgarejo Aragón, Marco Antonio ; Sáinz-Pardo Díaz, Judith ; López García, Álvaro ; et al.

Machine learning Distributed learning Federated learning Medical data Privacy Aprendizaje automático …
Dissertation
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232

Software defined networking based network traffic classification using machine learning techniques.
Salau AO ; Beyene MM
Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: PubMed not MEDLINE; MEDLINE

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233

Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis
Fonseca, Alcides ; Cabral, Bruno
In Big Data Research July 2017 8:50-56

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235

Optimizing Spark job scheduling with distributional deep learning in cloud environments.
Verma, Vishnu Prasad ; Kumar, Sumit ; Kumar, Santosh ; et al.
Journal of Cloud Computing (2192-113X); 10/27/2025, Vol. 14 Issue 1, p1-19, 19p

SCHEDULING REINFORCEMENT learning RESOURCE allocation ENERGY consumption CLOUD computing DEEP learning
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236

Neural Tangents: Fast and Easy Infinite Neural Networks in Python
Novak, Roman ; Xiao, Lechao ; Hron, Jiri ; et al.

Statistics - Machine Lea... Computer Science - Machi...
Report
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237

LHCb Continuous Integration and Deployment system: a message based approach.
Chitic, Stefan-Gabriel ; Couturier, Ben ; Clemencic, Marco ; et al.
EPJ Web of Conferences; 9/17/2019, Vol. 214, p1-7, 07p

PYTHON programming langu... COMPUTER software ELECTRONIC file manageme... MACHINE learning DISTRIBUTED computing
Konferenz
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239

CarML: distributed machine learning in vehicular clouds
Yicheng Shen ; Anran Du ; Lewis Tseng
Proceedings of the 26th Annual International Conference on Mobile Computing and Networking. :1-3

11. Sustainability 0202 electrical engineer... 02 engineering and techn... 14. Life underwater 15. Life on land 7. Clean energy
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