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Found 10 papers, 0 papers with code
Adaptive ResNet Architecture for Distributed Inference in Resource-Constrained IoT Systems
Hence, for dynamic systems, it is necessary to have a resilient DNN with an adaptive architecture that can downsize as per the available resources.
Zero-touch realization of Pervasive Artificial Intelligence-as-a-service in 6G networks
In this context, we introduce a novel platform architecture to deploy a zero-touch PAI-as-a-Service (PAIaaS) in 6G networks supported by a blockchain-based smart system.
Deep Reinforcement Learning for Trajectory Path Planning and Distributed Inference in Resource-Constrained UAV Swarms
The deployment flexibility and maneuverability of Unmanned Aerial Vehicles (UAVs) increased their adoption in various applications, such as wildfire tracking, border monitoring, etc.
RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for low latency IoT systems
In this paper, we present an approach that targets the security of collaborative deep inference via re-thinking the distribution strategy, without sacrificing the model performance.
Emotion Recognition for Healthcare Surveillance Systems Using Neural Networks: A Survey
Recognizing the patient's emotions using deep learning techniques has attracted significant attention recently due to technological advancements.
Efficient Real-Time Image Recognition Using Collaborative Swarm of UAVs and Convolutional Networks
We formulate the model as an optimization problem that minimizes the latency between acquiring images and making the final decisions.
An Intelligent Resource Reservation for Crowdsourced Live Video Streaming Applications in Geo-Distributed Cloud Environment
Crowdsourced live video streaming (livecast) services such as Facebook Live, YouNow, Douyu and Twitch are gaining more momentum recently.
Distributed CNN Inference on Resource-Constrained UAVs for Surveillance Systems: Design and Optimization
Unmanned Aerial Vehicles (UAVs) have attracted great interest in the last few years owing to their ability to cover large areas and access difficult and hazardous target zones, which is not the case of traditional systems relying on direct observations obtained from fixed cameras and sensors.
Pervasive AI for IoT applications: A Survey on Resource-efficient Distributed Artificial Intelligence
The confluence of pervasive computing and artificial intelligence, Pervasive AI, expanded the role of ubiquitous IoT systems from mainly data collection to executing distributed computations with a promising alternative to centralized learning, presenting various challenges.
QoE-Aware Resource Allocation for Crowdsourced Live Streaming: A Machine Learning Approach
This can be achieved by advocating a geo-distributed cloud infrastructure to allocate the multimedia resources as close as possible to viewers, in order to minimize the access delay and video stalls.
