Wireless Communication
去中心化联邦学习
Decentralized Federated LearningA distributed machine learning approach where training occurs across multiple decentralized edge devices or servers holding local data samples, without exchanging raw data between them. / 一种分布式机器学习方法，训练在持有本地数据样本的多个去中心化边缘设备或服务器之间进行，且设备之间不交换原始数据。
- Knowledge type
- 实际应用
- First proposed or discovered
- Proposer
- Turkey Farm member
- Creator
- 农场主
- Last updated
- 2026-10-30 20:05:50
Sub-knowledge points
Communication-efficient frameworkPruningMulti-aggregator coordination
Higher-order knowledge points
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Main parameters and performance indicators
communication efficiency: optimized via pruning and multi-aggregator coordinationcoordination: multi-aggregator mechanism
Open problems
No unresolved problem recorded yet
Related literature
ranked by community starsDFLPMA: A communication-efficient framework for Decentralized Federated Learning using pruning and multi-aggregator coordinationOpen source
Related products and links
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Creation and modification trail
1 recordsRecord title: Decentralized Federated Learning.
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