Pervasive AI for IoT applications: A survey on resource-efficient distributed artificial intelligence
Artificial intelligence (AI) has witnessed a substantial breakthrough in a variety of Internet of
Things (IoT) applications and services, spanning from recommendation systems and speech …
Things (IoT) applications and services, spanning from recommendation systems and speech …
Recent progress in generative adversarial networks applied to inversely designing inorganic materials: A brief review
Generative adversarial networks (GANs) are deep generative models (GMs) that have
recently attracted attention owing to their impressive performance in generating completely …
recently attracted attention owing to their impressive performance in generating completely …
Applications of distributed machine learning for the Internet-of-Things: A comprehensive survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
[HTML][HTML] Distributed Bayesian Inference for Large-Scale IoT Systems
In this work, we present a Distributed Bayesian Inference Classifier for Large-Scale Systems,
where we assess its performance and scalability on distributed environments such as …
where we assess its performance and scalability on distributed environments such as …
Applications of Distributed Machine Learning for the Internet-of-Things: A Comprehensive Survey
The emergence of new services and applications in emerging wireless networks (eg,
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
beyond 5G and 6G) has shown a growing demand for the usage of artificial intelligence (AI) …
[HTML][HTML] Multi-agent reinforcement learning for privacy-aware distributed CNN in heterogeneous IoT surveillance systems
Abstract Although Deep Neural Networks (DNN) have become the backbone technology of
several Internet of Things (IoT) applications, their execution in resource-constrained devices …
several Internet of Things (IoT) applications, their execution in resource-constrained devices …
[HTML][HTML] Reinforcement learning-based dynamic pruning for distributed inference via explainable AI in healthcare IoT systems
Abstract Deep Neural Networks (DNNs) have become the key technique to revolutionize the
healthcare sector. However, conducting online remote inference is often impractical due to …
healthcare sector. However, conducting online remote inference is often impractical due to …
AutoInfer: Self-Driving Management for Resource-Efficient, SLO-Aware Machine= Learning Inference in GPU Clusters
B Cai, Q Guo, X Dong - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
As Internet of Things (IoT) keeps growing, IoT-side intelligence services, such as intelligent
personal assistant, healthcare surveillance, and smart home service, offload more and more …
personal assistant, healthcare surveillance, and smart home service, offload more and more …
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems
As deep neural networks continue to expand and become more complex, most edge
devices are unable to handle their extensive processing requirements. Therefore, the …
devices are unable to handle their extensive processing requirements. Therefore, the …