The up-coming technology such as Federated Learning will change the responsibility of storing personal data radically ...

Sub-headline: HIT (Shenzhen) researchers develop FedPD to enhance personalized cross-architecture collaboration   Researchers ...

Scientists at Bambino Gesu Children’s Hospital in Rome have grown three-dimensional tumor models from pediatric brain cancer ...

If multiple collaborating companies feed data into an AI, the learning model will contain an especially wide variety of data.

“A scientific career is a journey of transfer learning and federated learning.” ...

The project sits at the intersection of privacy-preserving machine learning, distributed systems, and trustworthy AI, with implications for regulatory compliance and real-world deployment of federated ...

Regulatory pressure from GxP, 21 CFR Part 11, and AI/ML guidance elevates requirements for audit trails, data lineage, ...

In an era where data breaches make headlines weekly and privacy regulations tighten globally, artificial intelligence faces a ...

Abstract: Federated learning enables participants to collaboratively train a global model through distributed training without sharing raw data. However, this distributed training is vulnerable to ...

Abstract: In the Internet of Things (IoT) environment, to maintain the global consistency and generalization capability of federated learning (FL) models with good data privacy, a personalized FL ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions or values from labeled historical data, enabling precise signals such as ...