In this distributed environment, connectivity becomes foundational—a layer of invisible fabric that ties everything together.
“Abstract—Large-scale distributed deep learning training has enabled developments of more complex deep neural network models to learn from larger datasets for sophisticated tasks. In particular, ...
Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Jinsong Yu shares deep architectural insights ...
Big data for health care is one of the potential solutions to deal with the numerous challenges of health care, such as rising cost, aging population, precision medicine, universal health coverage, ...
Federated Learning 1 Authors, Creators & Presenters: Phillip Rieger (Technical University of Darmstadt), Alessandro Pegoraro (Technical University of Darmstadt), Kavita Kumari (Technical University of ...
Despite the enormous potential described by the researchers, the study warns of major barriers that threaten the safe, sustainable and effective integration of AI in 5G and 6G systems. These obstacles ...