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06/22/2023
GT-TSCH: Game-Theoretic Distributed TSCH Scheduler for Low-Power IoT Networks
Time-Slotted Channel Hopping (TSCH) is a synchronous medium access mode ...
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05/11/2023
Scheduling Multi-Server Jobs with Sublinear Regrets via Online Learning
Nowadays, multi-server jobs, which request multiple computing devices an...
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10/26/2022
Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
In this paper, we propose Hierarchical Federated Learning with Momentum ...
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06/17/2022
Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges
The convergence of mobile edge computing (MEC) and blockchain is transfo...
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05/21/2022
Secure and Efficient Decentralized Federated Learning with Data Representation Protection
Federated learning (FL) is a promising technical support to the vision o...
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04/09/2022
Learning to Dispatch Multi-Server Jobs in Bipartite Graphs with Unknown Service Rates
Multi-server jobs are imperative in modern cloud computing systems. A mu...
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10/14/2021
Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing
COVID-19 has spread rapidly across the globe and become a deadly pandemi...
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02/22/2021
InaudibleKey: Generic Inaudible Acoustic Signal based Key Agreement Protocol for Mobile Devices
Secure Device-to-Device (D2D) communication is becoming increasingly imp...
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02/10/2021
Adaptive Processor Frequency Adjustment for Mobile Edge Computing with Intermittent Energy Supply
With astonishing speed, bandwidth, and scale, Mobile Edge Computing (MEC...
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12/28/2020
DPoS: Decentralized, Privacy-Preserving, and Low-Complexity Online Slicing for Multi-Tenant Networks
Network slicing is the key to enable virtualized resource sharing among ...
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11/17/2020
Stochastic Client Selection for Federated Learning with Volatile Clients
Federated Learning (FL), arising as a novel secure learning paradigm, ha...
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11/03/2020
An Efficiency-boosting Client Selection Scheme for Federated Learning with Fairness Guarantee
The issue of potential privacy leakage during centralized AI's model tra...
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09/18/2020
Federated Learning with Nesterov Accelerated Gradient Momentum Method
Federated learning (FL) is a fast-developing technique that allows multi...
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08/05/2020
Fast Adaptive Task Offloading in Edge Computing based on Meta Reinforcement Learning
Multi-access edge computing (MEC) aims to extend cloud service to the ne...
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06/02/2020
MusicID: A Brainwave-based User Authentication System for Internet of Things
We propose MusicID, an authentication solution for smart devices that us...
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10/11/2019
Orchestrating Development Lifecycle of Machine Learning Based IoT Applications: A Survey
Machine Learning (ML) and Internet of Things (IoT) are complementary adv...
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10/07/2019
IoTSim-Edge: A Simulation Framework for Modeling the Behaviour of IoT and Edge Computing Environments
This paper proposes a novel simulator IoTSim-Edge, which captures the be...
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09/02/2019
Edge Intelligence: the Confluence of Edge Computing and Artificial Intelligence
Along with the deepening development in communication technologies and t...
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06/05/2019
CreativeBioMan: Brain and Body Wearable Computing based Creative Gaming System
Current artificial intelligence (AI) technology is mainly used in ration...
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03/22/2019
Proofware: Proof of Useful Work Blockchain Consensus Protocol for Decentralized Applications
In a blockchain system, consensus protocol as an incentive and security ...
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04/18/2018
NHAD: Neuro-Fuzzy Based Horizontal Anomaly Detection In Online Social Networks
Use of social network is the basic functionality of today's life. With t...
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04/19/2016
Improving Raw Image Storage Efficiency by Exploiting Similarity
To improve the temporal and spatial storage efficiency, researchers have...
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01/21/2013
Pattern Matching for Self- Tuning of MapReduce Jobs
In this paper, we study CPU utilization time patterns of several MapRedu...
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12/23/2011