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Special Issue on Artificial-Intelligence-Powered Edge Computing for Internet of Things

Lei Yang, Xu Chen, Samir M. Perlaza, Junshan Zhang
2020 IEEE Internet of Things Journal  
on IoT devices.  ...  In the article "Lightweight and unobtrusive data obfuscation at IoT edge for remote inference," Xu et al. presented a lightweight and unobtrusive approach to obfuscate the inference data at the edge devices  ... 
doi:10.1109/jiot.2020.3019948 fatcat:mogalqnhnnaqpbxb7zivzdhvry

EdgeAI: A Vision for Deep Learning in IoT Era [article]

Kartikeya Bhardwaj, Naveen Suda, Radu Marculescu
2019 arXiv   pre-print
Overcoming these challenges is crucial for rapid adoption of learning on IoT-devices in order to truly enable EdgeAI.  ...  The significant computational requirements of deep learning present a major bottleneck for its large-scale adoption on hardware-constrained IoT-devices.  ...  Therefore, new ways must be found to compress models for IoT-devices which reduces both computation and communication costs.  ... 
arXiv:1910.10356v1 fatcat:6df62csanbcldaf5q6y47wymt4

New Directions in Distributed Deep Learning: Bringing the Network at Forefront of IoT Design [article]

Kartikeya Bhardwaj, Wei Chen, Radu Marculescu
2020 arXiv   pre-print
iii) Lack of network-aware deep learning algorithms for distributed inference across multiple IoT devices.  ...  learning algorithms, and (3) Communication-aware distributed inference.  ...  Government is authorized to reproduce and distribute reprints for Governmental purposes notwithstanding any copyright notation thereon.  ... 
arXiv:2008.10805v1 fatcat:kwdkpkt2rjcltbphdlraulqncq

Security Risk Measurement for Information Leakage in IoT-Based Smart Homes from a Situational Awareness Perspective

Mookyu Park, Haengrok Oh, Kyungho Lee
2019 Sensors  
If IoT devices do not ensure high security, personal information could be leaked.  ...  In addition, because these smart home-based IoT devices are closely related to human life, considering social damage is a problem.  ...  Acknowledgments: This work was supported by Defense Acquisition Program Administration and Agency for Defense Development under the contract (UD160066BD).  ... 
doi:10.3390/s19092148 fatcat:6cmto4uhbzacji2pbsbn3iulqq

Dispersed Federated Learning: Vision, Taxonomy, and Future Directions [article]

Latif U. Khan, Walid Saad, Zhu Han, Choong Seon Hong
2021 arXiv   pre-print
However, federated learning still has privacy concerns due to sensitive information inferring capability of the aggregation server using end-devices local learning models.  ...  Other than privacy and robustness issues, federated learning over IoT networks requires a significant amount of communication resources for training.  ...  In A sub-global aggregator can infer the end-devices sensitive information using their local updates [2] , whereas it is very difficult for a global aggregation server to infer the end-devices sensitive  ... 
arXiv:2008.05189v2 fatcat:7rg4fz3dhnb25jbjaln6wrvwcq

Designing for Self-Configuration and Self-Adaptation in the Internet of Things

Arjun Athreya, Bruce DeBruhl, Patrick Tague
2013 Proceedings of the 9th IEEE International Conference on Collaborative Computing: Networking, Applications and Worksharing  
We suggest that the natural direction for IoT devices is to manage themselves, both in terms of their software/hardware configuration and their resource utilization.  ...  The Internet of Things (IoT) paradigm comprises a heterogenous mix of connected devices connected to the Internet.  ...  In our proposed architecture, devices which are aware of energy costs for any kind of operations (as a function of machine cycles or bytes of data for communication), they can vote to participate in specific  ... 
doi:10.4108/icst.collaboratecom.2013.254091 dblp:conf/colcom/AthreyaDT13 fatcat:7yiuizdmgngh5fszfnfmie3odq

Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices [article]

Sahidul Islam and Jieren Deng and Shanglin Zhou and Chen Pan and Caiwen Ding and Mimi Xie
2022 arXiv   pre-print
Energy harvesting (EH) IoT devices that operate intermittently without batteries, coupled with advances in deep neural networks (DNNs), have opened up new opportunities for enabling sustainable smart applications  ...  We first propose RAD, a resource-aware structured DNN training framework, which employs block circulant matrix and structured pruning to achieve high compression for leveraging the advantage of various  ...  Related Works: Several works have implemented CNN on IoT devices. SONIC is an intermittence-aware software system with specialized support for DNN inference [7] .  ... 
arXiv:2111.14051v2 fatcat:we6fzwwgrzfxbnm6k7sjkhdaqu

An Ontology based Approach for Context-Aware Security in the Internet of Things (IoT)

Asifa Nazir, Department of Computer Science &Engineering Islamic University of Science &Technology, Awantipora, India
2021 International Journal of Wireless and Microwave Technologies  
Because of the increased number of advanced sensing devices in the IoT world with smaller size, cheaper cost and better battery capacity, huge amount of data (context) is generated.  ...  Incorporation of context-aware rules based on common experience for specific healthcare scenario is done to get implicit insight among IoT nodes.  ...  IoT has become particularly popular because of the speedy development of small sized and low cost sensor devices in market.  ... 
doi:10.5815/ijwmt.2021.01.04 fatcat:dvdtt5nntvbtlnkmnv476lf234

Resource Management Techniques for Cloud-Based IoT Environment [article]

Syed Arshad Ali, Manzoor Ansari, Mansaf Alam
2020 arXiv   pre-print
reducing operational cost and energy consumption.  ...  IoT creates an environment where physical devices and sensors are flawlessly combined into information nodes to deliver innovative and smart services for human-being to make their life easier and more  ...  Data captured by the smart IoT devices are stored in Cloud and further processed in Cloud infrastructure for inferring knowledge.  ... 
arXiv:2002.12729v1 fatcat:usazik6ednd4fmr6opq4lptagq

DistPrivacy: Privacy-Aware Distributed Deep Neural Networks in IoT surveillance systems [article]

Emna Baccour, Aiman Erbad, Amr Mohamed, Mounir Hamdi, Mohsen Guizani
2020 arXiv   pre-print
for privacy-aware and low decision-latency applications.  ...  To support the requirements of such paradigm in terms of memory and computation, joint and real-time deep co-inference framework with IoT synergy was introduced.  ...  PRIVACY-AWARE DISTRIBUTED CNN FOR IOT DEVICES A. Black-box Inversion Attack Against distributed CNNs In this paper, we will handle the CNN privacy against blackbox attacks.  ... 
arXiv:2010.13234v1 fatcat:ftxgvmvogbfnzcgllat5dbpf3q

Trust Management Framework for IOT Based P2P Objects

Raghu Nallani Chakravartula, Naga Lakshmi V
2017 International Journal of Peer to Peer Networks  
In such an environment, security and privacy are the major barriers and addressing these issues is vital for the penetration of IoT-based Medical devices.  ...  Traditional security solutions will not suffice to the needs of IoT-based resource constraint devices and pose potential limitations and patient safety issues.  ...  Figure 1Trust Negotiation 1Trust Framework for IoT-based Ad-hoc Medical Applications c) Operational Cost: This module measures cost involved in performing the action.  ... 
doi:10.5121/ijp2p.2017.8302 fatcat:jz7r7q73mzbolpsq4myzcexwby

Design and Implementation of a Vehicle Social Enabler Based on Social Internet of Things

Taehwan Shin, Jinsung Byun
2016 Mobile Information Systems  
Various context-aware consumer electronics based on IoT for intelligent and personalized user-centric services have been introduced.  ...  This paper presents the middleware architecture and cooperation processes for a social IoT-based smart system.  ...  [5] discussed effective implementation for IoT used for environmental condition monitoring in homes based on a low-cost ubiquitous sensing system. Li et al.  ... 
doi:10.1155/2016/4102163 fatcat:h7xmvaf7nvcijmfa6d3eb3s63u

A context-aware system in Internet of Things using modular Bayesian networks

K Yang, Sung-Bae Cho
2017 International Journal of Distributed Sensor Networks  
In this article, we propose a context-aware system through device-oriented modeling for the Internet of Things using modular Bayesian networks based on our previous study.  ...  The main contribution of the article lies in the realization of the modular context-aware system with deviceoriented modeling of Bayesian networks in smart home and the verification of the usability through  ...  to infer new knowledge for the IoT.  ... 
doi:10.1177/1550147717708986 fatcat:4h46riasa5cspeb4jemqglfoye

Guest Editors' Introduction: Design and Management of Mobile Platforms: From Smartphones to Wearable Devices

Umit Y. Ogras, Sudeep Pasricha, Michael Kishinevsky, Michael Kishinevsky
2020 IEEE design & test  
This article surveys the landscape of energy management solutions for mobile and the IoT devices.  ...  This special issue features a keynote article titled "A Survey on Energy Management for Mobile and IoT Devices" from Pasricha et al.  ...  This article surveys the landscape of energy management solutions for mobile and the IoT devices.  ... 
doi:10.1109/mdat.2020.3000750 fatcat:ltjfjypa5jepljjh5cid7cifiq

Green-aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions [article]

Minxian Xu, Chengxi Gao, Shashikant Ilager, Huaming Wu, Chengzhong Xu, Rajkumar Buyya
2020 arXiv   pre-print
Then we present a green-aware framework for MEC to address the energy-related challenges, and provide a generic model formulation for the green MEC.  ...  The development of Internet of Things (IoT) technology enables the rapid growth of connected smart devices and mobile applications.  ...  LETOC LETOC [17] is a Lyapunov-based algorithm for online optimization on energy cost and time to address the energy-aware computation offloading in MEC for IoT.  ... 
arXiv:2009.03598v1 fatcat:yocrd33c5vfzzi3mltp2rcrpvm
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