FedTAR: Task and Resource-Aware Federated Learning for Wireless Computing Power Networks
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DOI: 10.1109/jiot.2022.3215805
Abstract: In the 6G era, the proliferation of data and data-intensive applications poses unprecedented challenges on the current communication and computing networks. The collaboration among cloud computing, edge computing, and networking is imperative to process such… read more here.
Keywords: federated learning; task resource; wireless computing; task ... See more keywords
Resource-Aware Edge-Based Stream Analytics
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DOI: 10.1109/mic.2022.3152478
Abstract: Understanding how machine learning (ML) algorithms can be used for stream processing on edge devices remains an important challenge. Such ML algorithms can be represented as operators and dynamically adapted based on the resources on… read more here.
Keywords: stream processing; stream; resource aware; edge based ... See more keywords