FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
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Updated
May 27, 2024 - Python
FedStream: Prototype-Based Federated Learning on Distributed Concept-drifting Data Streams
The stream-learn is an open-source Python library for difficult data stream analysis.
On metaattribute ability in implicit concept identification
Semi-supervised Federated Learning on Evolving Data Streams
AutoML framework for implementing automated machine learning on data streams
PyFlink data stream processing utilities 🐿
Advanced Machine Learning
Online anomaly detection for data streams/ Real-time anomaly detection for time series data.
Augmented Queues (IEEE SSCI 2022)
Python package for synchronization of data streams or sensor systems employing IMU data
ActiSiamese (Neurocomputing 2022)
Stream Autoencoder Windowing (SAW) - Change Detection Framework for high dimensional data streams
Adaptive REBAlancing (AREBA, IEEE TNNLS 2021)
Methods for Finding Frequent Items in Data Streams
Queue-Based Resampling (QBR, ICANN 2018)
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