Official PyTorch implementation of FedGAT, a novel model-agnostic federated learning technique based on generative autoregressive transformers for MRI reconstruction. Unlike conventional federated ...

Improved AI accuracy with diverse data: Model accuracy relies heavily on data quality and diversity. Federated learning ...

One of the primary challenges in implementing intelligent systems in agriculture is safeguarding the privacy and security of ...

Healthcare is one of the most data-sensitive industries. As IoT-enabled devices and cloud-based platforms proliferate in ...

Media conglomerate WPP is doubling down on bolstering its AI credibility among budget-challenged clients. CEO Mark Read ...

Flytxt, a pioneer in Agentic AI solutions for subscription businesses, today announced a major initiative to expand its ...

Reports Q1 revenue $423.54M, consensus $422.73M. “For the 10th consecutive quarter, Federated Hermes (FHI) reached record assets under management,” said J. Christopher Donahue, president and ...

A new K-12 learning platform aims to bring personalized education to every student. Kira, one of the latest ed tech ventures ...

In a report released today, William Katz from TD Cowen maintained a Buy rating on Federated Hermes (FHI – Research Report), with a price target of $41.00. The company’s shares closed yesterday ...

Abstract: To address the challenge of non-independent and identically distributed data in federated learning, clustering federated learning extracts local model features from clients and groups ...