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Making distributed edge machine learning for resource-constrained communities and environments smarter: contexts and challenges.

, , and . J. Reliab. Intell. Environ., 9 (2): 119-134 (June 2023)

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Machine Learning-based Link Fault Identification and Localization in Complex Networks., , and . CoRR, (2018)Workflow-based applications performance and execution cost optimization on cloud infrastructures. (Optimisation des performances et du coût de flots applicatifs s'exécutant sur des infrastructures de cloud).. University of Nice Sophia Antipolis, France, (2010)Fault tolerance in TCAM-limited software defined networks., , and . Comput. Networks, (2017)Asyn2F: An Asynchronous Federated Learning Framework with Bidirectional Model Aggregation., , , , and . CoRR, (2024)A federated deep learning framework for privacy preservation and communication efficiency., , , and . J. Syst. Archit., (2022)An Empirical Evaluation of Automated Machine Learning Techniques for Malware Detection., , and . IWSPA@CODASPY, page 75-81. ACM, (2021)Markov Chain Based Algorithm for Virtual Network Embedding in Optical Data Centers., and . HPCC/SmartCity/DSS, page 899-906. IEEE Computer Society, (2016)MAppGraph: Mobile-App Classification on Encrypted Network Traffic using Deep Graph Convolution Neural Networks., , , , and . ACSAC, page 1025-1038. ACM, (2021)Flexible bandwidth allocation for big data transfer with deadline constraints., , and . ISCC, page 347-352. IEEE Computer Society, (2017)Game Theoretic Switch-Controller Mapping with Traffic Variations in Software Defined Networks., , and . GLOBECOM, page 1-6. IEEE, (2018)