.png){kind=icon}
返回
Resource Optimization for Blockchain-Based Federated Learning in Mobile Edge Computing
.png){kind=icon}
OA
AI
DOI：10.1109/JIOT.2023.3347524.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
With the booming of mobile edge computing (MEC) and blockchain-based blockchain-based federated learning (BCFL), more studies suggest deploying BCFL on edge servers. In this case, edge servers with restricted resources face the dilemma of serving both mobile devices for their offloading tasks and the BCFL system for model training and blockchain consensus without sacrificing the service quality to any side. To address this challenge, this article proposes a resource allocation scheme for edge servers to provide optimal services at the minimum cost. Specifically, we first analyze the energy consumption of the MEC and BCFL tasks, considering the completion time of each task as the service quality constraint. Then, we model the resource allocation challenge into a multivariate, multiconstraint, and convex optimization problem. While solving the problem in a progressive manner, we design two algorithms based on the alternating direction method of multipliers (ADMMs) in both homogeneous and heterogeneous situations, where equal and on-demand resource distribution strategies are, respectively, adopted. The validity of our proposed algorithms is proved via rigorous theoretical analysis. Moreover, the convergence and efficiency of our proposed resource allocation schemes are evaluated through extensive experiments.
Keyword:
Alternating direction method of multiplier (ADMM)
blockchain
federated learning (FL)
mobile edge computing (MEC)
resource allocation
期刊
IF:
8.9
论文数:
1.4W
被引数:
7.8W
机构
引用论文
.png){kind=icon}
Incentive Mechanism Design for Joint Resource Allocation in Blockchain-Based Federated Learning基于区块链的联邦学习联合资源分配激励机制设计OAAI
OAAI分享收藏
Smart Resource Allocation for Mobile Edge Computing: A Deep Reinforcement Learning Approach移动边缘计算的智能资源分配: 一种深度强化学习方法
PREAI
分享收藏Hybrid Blockchain-Based Resource Trading System for Federated Learning in Edge Computing基于混合区块链的边缘计算联邦学习资源交易系统
PREAI
分享收藏分享收藏
查看更多内容