Split Consensus Federated Learning: An Approach for Distributed Training and Inference-Reference-Cited by-同舟云学术

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Split Consensus Federated Learning: An Approach for Distributed Training and Inference

Published:2024 Issue: Volume:12 Page:119535-119549
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Camajori Tedeschini Bernardo¹^ORCID,Brambilla Mattia¹^ORCID,Nicoli Monica²^ORCID

Affiliation:

1. Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milan, Italy

2. Department of Management, Economics and Industrial Engineering, Politecnico di Milano, Milan, Italy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10640099.pdf?arnumber=10640099

Reference61 articles.

1. Secure and Robust Machine Learning for Healthcare: A Survey

2. Disease Prediction by Machine Learning Over Big Data From Healthcare Communities

3. Ethically Responsible Machine Learning in Fintech

4. Machine Learning in Finance

5. A Review of Machine Learning and IoT in Smart Transportation

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