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05/16/2023
Faster Federated Learning with Decaying Number of Local SGD Steps
In Federated Learning (FL) client devices connected over the internet co...
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04/03/2023
Model-Agnostic Reachability Analysis on Deep Neural Networks
Verification plays an essential role in the formal analysis of safety-cr...
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10/31/2022
Joint Optimization of Sensing and Computation for Status Update in Mobile Edge Computing Systems
IoT devices recently are utilized to detect the state transition in the ...
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09/12/2021
Federated Ensemble Model-based Reinforcement Learning
Federated learning (FL) is a privacy-preserving machine learning paradig...
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08/20/2021
Accelerating Federated Learning with a Global Biased Optimiser
Federated Learning (FL) is a recent development in the field of machine ...
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08/20/2021
Mobility-Aware Cluster Federated Learning in Hierarchical Wireless Networks
Implementing federated learning (FL) algorithms in wireless networks has...
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06/28/2021
Evolutionary Multi-Objective Virtual Network Function Placement: A Formal Model and Effective Algorithms
Data centers are critical to the commercial and social activities of mod...
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12/16/2020
Online Service Migration in Edge Computing with Incomplete Information: A Deep Recurrent Actor-Critic Method
Multi-access Edge Computing (MEC) is a key technology in the fifth-gener...
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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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07/17/2020
User-Oriented Multi-Task Federated Deep Learning for Mobile Edge Computing
Federated Learning (FL) is a recent approach for collaboratively trainin...
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01/30/2020
Routing-Led Placement of VNFs in Arbitrary Networks
The ever increasing demand for computing resources has led to the creati...
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09/30/2019
Does Preference Always Help? A Holistic Study on Preference-Based Evolutionary Multi-Objective Optimisation Using Reference Points
The ultimate goal of multi-objective optimisation is to help a decision ...
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01/23/2019
Deep Adversarial Learning in Intrusion Detection: A Data Augmentation Enhanced Framework
Intrusion detection systems (IDSs) play an important role in identifying...
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10/10/2017
Link Quality Aware Channel Allocation for Multichannel Body Sensor Networks
Body Sensor Network (BSN) is a typical Internet-of-Things (IoT) applicat...
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09/30/2016
