Indy528 — Federated Learning Model Tokenization with Non-Fungible Tokens(NFT) and Model Cards

Author:

Bandara Eranga1,Liang Xueping2,Shetty Sachin1,Mukkamala Ravi1,Rahman Abdul3,Keong Ng Wee4

Affiliation:

1. Old Dominion University,Norfolk,VA,USA

2. University of North Carolina at Greensboro,NC,USA

3. Deloitte & Touche LLP

4. Nanyang Technological University,Singapore

Funder

U.S. Army Research Laboratory

Publisher

IEEE

Reference28 articles.

1. Payment-based incentive mechanism for secure cloud deduplication

2. Trusting the trust machine: Evaluating trust signals of blockchain applications;völter;International Journal of Information Management,2021

3. Ethical framework for Artificial Intelligence and Digital technologies

4. Measuring Ethereum-Based ERC20 Token Networks

5. Efficient decentralized deep learning by dynamic model averaging;kamp;Proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases,2018

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1. Blockchain, NFT, Federated Learning and Model Cards enabled UAV Surveillance System for 5G/6G Network Sliced Environment;2023 International Symposium on Networks, Computers and Communications (ISNCC);2023-10-23

2. A Comprehensive Survey on Privacy-Preserving Techniques in Federated Recommendation Systems;Applied Sciences;2023-05-18

3. Proposal Of User-Friendly Design Of NFT Marketplace;2023 4th International Conference on Computing and Communication Systems (I3CS);2023-03-16

4. Federated Learning and NFT-Based Privacy-Preserving Medical Data Sharing Scheme for Intelligent Diagnosis in Smart Healthcare;IEEE Internet of Things Journal;2023

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