Federated Learning Simulator (FLSim) is a flexible, standalone library written in PyTorch that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use ...

FACULTY OPENINGS AT THE SINGAPORE INSTITUTE OF TECHNOLOGY The Singapore Institute of Technology (SIT) is Singapore’s first University of Applied Learning, offering industry-relevant degree programmes ...

In Decentralized Federated Learning (DFL), Deep Mutual Learning (DML) improves global accuracy under non-independent and identically distributed (non-IID) data by enabling knowledge exchange over ...

This paper envisions 6G as a self-evolving telecom ecosystem, where AI-native capabilities enables dynamic adaptation, autonomy, and resilience beyond traditional connectivity. We present a conceptual ...

Artificial Intelligence (AI) and Machine Learning (ML) are no longer futuristic concepts—they are actively reshaping industries across the globe. From healthcare and finance to e-commerce, ...

Deep learning engineering stands at the forefront of artificial intelligence innovation in 2025. As AI systems become increasingly sophisticated, deep learning engineers shape the future by designing ...

Federated learning enables decentralized machine learning across various devices while maintaining user privacy, a method utilized by companies like Google for applications such as input method ...

Microsoft announced on-device training of machine language models with the open source ONNX Runtime (ORT). The ORT is a cross-platform machine-learning model accelerator, providing an interface to ...

Large machine learning (ML) models with improved predictions have become widely available in the chemical sciences. Unfortunately, these models do not protect the privacy necessary within commercial ...

Federated learning has become a major area of machine learning (ML) research in recent years due to its versatility in training complex models over massive amounts of data without the need to share ...