IEEE

FedGT: Identification of Malicious Clients in Federated Learning With Secure Aggregation

Abstract: Federated learning (FL) has emerged as a promising approach for collaboratively training machine learning models while preserving data privacy. Due to its decentralized nature, FL is ...
InfoWorld

Java use in AI development continues to grow – Azul report

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.
InfoQ

Are You Missing a Data Frame? The Power of Data Frames in Java

Vladimir Zakharov explains how DataFrames serve as a vital tool for data-oriented programming in the Java ecosystem. By ...
IEEE

CPFedAvg: Enhancing Hierarchical Federated Learning via Optimized Local Aggregation and Parameter Mixing

Abstract: Hierarchical federated learning (HFL) improves the scalability and efficiency of traditional federated learning (FL) by incorporating a hierarchical topology into the FL framework. In a ...