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RL-DistPrivacy: Privacy-Aware Distributed Deep Inference for Low Latency IoT Systems
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IEEE Computer Society
, 2022 , Article)
Although Deep Neural Networks (DNN) have become the backbone technology of several ubiquitous applications, their deployment in resource-constrained machines, e.g., Internet of Things (IoT) devices, is still challenging. ...
A Practical Cross Device Federated Learning Frame-work over 5G N etworks
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The concept of federated learning (FL) was first proposed by Google in 2016. Thereafter, FL has been widely studied for the feasibility of application in various fields due to its potential to make full use of data without ...
DeepAutoD: Research on Distributed Machine Learning Oriented Scalable Mobile Communication Security Unpacking System
(
IEEE Computer Society
, 2022 , Article)
The rapid growth of Android smart phones and abundant applications (Apps), a new security solution for distributed computing and mobile communications, has prompted many enhanced vendors to use different methods to effectively ...
A Demand-Driven Incremental Deployment Strategy for Edge Computing in IoT Network
(
IEEE Computer Society
, 2022 , Article)
Edge Computing brings great opportunities to enable the Internet of Things (IoT) vision. But the physical edge server deployment problem still poses a major challenge, which dramatically affects the service ability and ...
On Softwarization of Intelligence in 6G Networks for Ultra-Fast Optimal Policy Selection: Challenges and Opportunities
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Institute of Electrical and Electronics Engineers Inc.
, 2022 , Article)
The emerging Sixth Generation (6G) communication networks promising 100 to 1000 Gbps rates and ultra-low latency (1 millisecond) are anticipated to have native, embedded Artificial Intelligence (AI) capability to support ...
Improve the reliability of 6G vehicular communication through skip network coding
(
Elsevier Inc.
, 2022 , Article)
One important design goal of 6G networks is adapting to complex heterogeneous scenarios and providing a stable and reliable transmission channel for specific applications such as vehicular communication. To achieve this, ...
On Designing Smart Agents for Service Provisioning in Blockchain-Powered Systems
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IEEE Computer Society
, 2022 , Article)
Service provisioning systems assign users to service providers according to allocation criteria that strike an optimal trade-off between users' Quality of Experience (QoE) and the operation cost endured by providers. These ...
A Malicious Mining Code Detection Method Based on Multi-Features Fusion
(
IEEE Computer Society
, 2022 , Article)
With the continuous increase in the economic value of new digital currencies represented by Bitcoin, more and more cybercriminals use malicious code to occupy victims system resources and network resources for mining without ...
Scratch-DKG: A Framework for Constructing Scratch Domain Knowledge Graph
(
IEEE Computer Society
, 2022 , Article)
With the rapid development of programming platforms, how to utilize the tremendous amount of data produced by the platforms, such as Scatch, has been a big challenge to researchers. The growing data is not only huge, but ...
Deep Reinforcement Learning for Network Selection over Heterogeneous Health Systems
(
IEEE Computer Society
, 2022 , Article)
Smart health systems improve our quality oflife by integrating diverse information and technologies into health and medical practices. Such technologies can significantly improve the existing health services. However, ...