Upcoming Developments In Federated Learning AI Technologies
Federated learning AI provides a means of unlocking information to feed new AI applications while training AI models without anybody seeing or touching your data
Collaboratively, new AI models are being trained on the edge using data that never leaves your laptop, private server, or mobile device
Federated learning AI model is a new kind of AI training that is quickly becoming the norm for processing and storing private data
Federated learning allows many individuals to remotely share their data in order to jointly train a single deep learning model
Improved Privacy of Data by enabling model training on decentralized data sources without direct access to the raw data, federated learning puts privacy first
Enhanced Protection: Sensitive information is less centrally located as it is processed and stored locally on separate devices
Federated learning may improve model performance and accuracy by using data from several devices or institutions rather than centrally gathering data