Federated learning design and functional models: Survey
Federated learning is a multiple device collaboration setup designed to solve machine
learning problems under framework for aggregation and knowledge transfer in distributed …
learning problems under framework for aggregation and knowledge transfer in distributed …
Blockchain and Trustworthy Reputation for Federated Learning: Opportunities and Challenges
In the domain of Collaborative Artificial Intelligence, Federated Learning (FL) is a technique
that enables multiple entities to collaboratively refine AI models while adhering to stringent …
that enables multiple entities to collaboratively refine AI models while adhering to stringent …
Advances in Robust Federated Learning: A Survey with Heterogeneity Considerations
In the field of heterogeneous federated learning (FL), the key challenge is to efficiently and
collaboratively train models across multiple clients with different data distributions, model …
collaboratively train models across multiple clients with different data distributions, model …
Advances in Robust Federated Learning: Heterogeneity Considerations
In the field of heterogeneous federated learning (FL), the key challenge is to efficiently and
collaboratively train models across multiple clients with different data distributions, model …
collaboratively train models across multiple clients with different data distributions, model …