Research on Model Optimization Technology of Federated Learning
Author:
Affiliation:
1. University of Science and Technology of China,School of Software Engineering,SuZhou,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10104516/10104604/10104736.pdf?arnumber=10104736
Reference46 articles.
1. Federated learning: Strate gies for improving communication eficiency;konecny;arXiv 1610 05492 2016,0
2. Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations
3. Blockchain-based Node-aware Dynamic Weighting Methods for Improving Federated Learning Performance
4. Robust and commu nicationefficient colaborative learning;reisizadeh;Advances in Neural IInformation Processing Systems,0
5. Towards asynchronous federated learning for heterogeneous edge-powered internet of things;chen;Digital Communications and Networks,0
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1. A Multi-Dimensional Reverse Auction Mechanism for Volatile Federated Learning in the Mobile Edge Computing Systems;Electronics;2024-08-09
2. Extending the Framework for Developing Intelligent Virtual Environments (FIVE) with Artifacts for Modeling Internet of Things Devices and a New Decentralized Federated Learning Based on Consensus for Dynamic Networks;Sensors;2024-02-19
3. Driver Safety and Drowsiness Detection in Internet of Vehicles with Federated Learning;Lecture Notes in Networks and Systems;2024
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