Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges-Reference-Cited by-同舟云学术

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Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges

Published:2024-07-08 Issue: Volume:12 Page:578-584
ISSN:
Container-title:2024 IEEE International Mediterranean Conference on Communications and Networking (MeditCom)
language:
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Author:

Javed Farhana¹,Mangues-Bafalluy Josep¹,Zeydan Engin¹,Blanco Luis²

Affiliation:

1. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA),Services as networkS (SaS),Castelldefels,Spain

2. Centre Tecnològic de Telecomunicacions de Catalunya (CTTC/CERCA),Space and Resilient Communications and Systems (SRCOM),Castelldefels,Spain

Funder

Generalitat de Catalunya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10621051/10621071/10621302.pdf?arnumber=10621302

Reference46 articles.

1. Emerging trends in federated learning: from model fusion to federated X learning

2. Decentralized federated learning based on blockchain: concepts, framework, and challenges

3. Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions

4. On the Specialization of FDRL Agents for Scalable and Distributed 6G RAN Slicing Orchestration

5. Explanation-Guided Deep Reinforcement Learning for Trustworthy 6G RAN Slicing

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