Browsing Faculty Contributions by Subject "deep learning (DL)"
Now showing items 1-5 of 5
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Bringing Deep Learning at the Edge of Information-Centric Internet of Things
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Various Internet solutions take their power processing and analysis from cloud computing services. Internet of Things (IoT) applications started discovering the benefits of computing, processing, and analysis on the device ... -
Budgeted online selection of candidate iot clients to participate in federated learning
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Machine learning (ML), and deep learning (DL) in particular, play a vital role in providing smart services to the industry. These techniques, however, suffer from privacy and security concerns since data are collected from ... -
Custom Hardware Architectures for Deep Learning on Portable Devices: A Review
( Institute of Electrical and Electronics Engineers Inc. , 2022 , Article)The staggering innovations and emergence of numerous deep learning (DL) applications have forced researchers to reconsider hardware architecture to accommodate fast and efficient application-specific computations. Applications, ... -
A survey on federated learning: The journey from centralized to distributed on-site learning and beyond
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)Driven by privacy concerns and the visions of deep learning, the last four years have witnessed a paradigm shift in the applicability mechanism of machine learning (ML). An emerging model, called federated learning (FL), ... -
Trust-Based Cloud Machine Learning Model Selection for Industrial IoT and Smart City Services
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)With machine learning (ML) services now used in a number of mission-critical human-facing domains, ensuring the integrity and trustworthiness of ML models becomes all important. In this work, we consider the paradigm where ...