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 ...
In the rapidly advancing realm of Artificial Intelligence (AI), the sophistication of our daily digital companions—ranging from spam filters to chatbots and personalized recommendation engines—is ...
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 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 ...
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 ...
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