Abstract: Federated learning emerges as a key enabler toward pervasive intelligence across IoT ecosystems with provable privacy guarantees. While recent efforts on client selection have been made for ...
Abstract: Quantum federated learning (QFL) is a combination of distributed quantum computing and federated machine learning, integrating the strengths of both to enable privacy-preserving ...
GridFM DataKit (gridfm-datakit) is a Python library for generating realistic, diverse, and scalable synthetic datasets for power flow (PF) and optimal power flow (OPF) machine learning solvers. It ...
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This repository contains the technical implementation of the paper Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks, as well as proof of its results.
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