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Blockchain-Empowered Trustworthy Data Sharing: Fundamentals, Applications, and Challenges
Second, we focus on the convergence of blockchain and data sharing to give a clear picture of this landscape and propose a reference architecture for blockchain-based data sharing.
FedToken: Tokenized Incentives for Data Contribution in Federated Learning
Incentives that compensate for the involved costs in the decentralized training of a Federated Learning (FL) model act as a key stimulus for clients' long-term participation.
A Marketplace for Trading AI Models based on Blockchain and Incentives for IoT Data
An emerging paradigm in ML is a federated approach where the learning model is delivered to a group of heterogeneous agents partially, allowing agents to train the model locally with their own data.
Containing Future Epidemics with Trustworthy Federated Systems for Ubiquitous Warning and Response
In this sense, we expect active participation of empowered citizens to supplement the more usual top-down management of epidemics.
Distributed, Parallel, and Cluster Computing
