Decentralized federated learning: Fundamentals, state of the art, frameworks, trends, and challenges

ETM Beltrán, MQ Pérez, PMS Sánchez… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
被引用次数：106 相关文章

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

ETM Beltrán, MQ Pérez, PMS Sánchez… - arXiv preprint arXiv …, 2022 - arxiv.org
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
[PDF] researchgate.net

[PDF][PDF] Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

ETM Beltrán, MQ Pérez, PMS Sánchez, SL Bernal - researchgate.net
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

ET Martínez Beltrán, MQ Pérez, PMS Sánchez… - … Surveys & Tutorials, 2023 - dl.acm.org
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …

Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

ET Martínez Beltrán, MQ Perez, PMS Sánchez… - … Surveys and Tutorials, 2023 - zora.uzh.ch
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …
[PDF] researchgate.net

[PDF][PDF] Decentralized Federated Learning: Fundamentals, State of the Art, Frameworks, Trends, and Challenges

ETM Beltrán, MQ Pérez, PMS Sánchez, SL Bernal - researchgate.net
In recent years, Federated Learning (FL) has gained relevance in training collaborative
models without sharing sensitive data. Since its birth, Centralized FL (CFL) has been the …