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08/04/2023
Analysis and Optimization of Wireless Federated Learning with Data Heterogeneity
With the rapid proliferation of smart mobile devices, federated learning...
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05/02/2023
Efficient Federated Learning with Enhanced Privacy via Lottery Ticket Pruning in Edge Computing
Federated learning (FL) is a collaborative learning paradigm for decentr...
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05/01/2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy
To defend the inference attacks and mitigate the sensitive information l...
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04/09/2023
Gradient Sparsification for Efficient Wireless Federated Learning with Differential Privacy
Federated learning (FL) enables distributed clients to collaboratively t...
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04/09/2023
Design of Two-Level Incentive Mechanisms for Hierarchical Federated Learning
Hierarchical Federated Learning (HFL) is a distributed machine learning ...
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03/20/2023
Make Landscape Flatter in Differentially Private Federated Learning
To defend the inference attacks and mitigate the sensitive information l...
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03/07/2023
Amplitude-Varying Perturbation for Balancing Privacy and Utility in Federated Learning
While preserving the privacy of federated learning (FL), differential pr...
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02/08/2023
Improving the Model Consistency of Decentralized Federated Learning
To mitigate the privacy leakages and communication burdens of Federated ...
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10/26/2022
Low-latency Federated Learning with DNN Partition in Distributed Industrial IoT Networks
Federated Learning (FL) empowers Industrial Internet of Things (IIoT) wi...
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02/18/2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning
Motivated by the advancing computational capacity of distributed end-use...
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02/09/2022
Vertical Federated Learning: Challenges, Methodologies and Experiments
Recently, federated learning (FL) has emerged as a promising distributed...
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05/31/2021
On Dynamic Resource Allocation for Blockchain Assisted Federated Learning over Wireless Channels
Blockchain assisted federated learning (BFL) has been intensively studie...
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05/10/2021
Federated Learning with Unreliable Clients: Performance Analysis and Mechanism Design
Owing to the low communication costs and privacy-promoting capabilities,...
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01/28/2021
Covert Model Poisoning Against Federated Learning: Algorithm Design and Optimization
Federated learning (FL), as a type of distributed machine learning frame...
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01/18/2021
Blockchain Assisted Decentralized Federated Learning (BLADE-FL): Performance Analysis and Resource Allocation
Federated learning (FL), as a distributed machine learning paradigm, pro...
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07/04/2020
RDP-GAN: A Rényi-Differential Privacy based Generative Adversarial Network
Generative adversarial network (GAN) has attracted increasing attention ...
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04/11/2020
DNN-aided Read-voltage Threshold Optimization for MLC Flash Memory with Finite Block Length
The error correcting performance of multi-level-cell (MLC) NAND flash me...
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02/29/2020
Performance Analysis and Optimization in Privacy-Preserving Federated Learning
As a means of decentralized machine learning, federated learning (FL) ha...
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11/01/2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis
In this paper, to effectively prevent information leakage, we propose a ...
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11/01/2019