Abstract: Federated learning is an important distributed machine learning paradigm. This study proposes a privacy-preserving data augmentation model for federated learning of heterogeneous data, which ...

Storage.AI focuses on data-handling efficiency after packets reach their destinations. Founding members include AMD, Cisco, ...

Cancer registration is a vital source of information for government-driven cancer prevention and control policies. However, cancer registry abstraction is a complex and labor-intensive process, ...

Kaizen Biosciences, Co., a biopharmaceutical company, today announced the acceptance of its abstract for presentation at IDWeek 2025, which serves as a premi ...