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Arxiv
3d
39
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Federated Learning Inspired Fuzzy Systems: Decentralized Rule Updating for Privacy and Scalable Decision Making
- Fuzzy systems, which manage uncertainty, are being enhanced through machine learning and federated learning techniques.
- Federated learning offers advantages like improved privacy, reduced networking burden, and decreased latency for model updates.
- The paper proposes updating fuzzy rules based on federated learning principles to enhance fuzzy systems over time.
- The improvements discussed require further exploration to assess their full potential in enhancing fuzzy systems.
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