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Found 2 papers, 2 papers with code
TensAIR: Real-Time Training of Neural Networks from Data-streams
Online learning (OL) from data streams is an emerging area of research that encompasses numerous challenges from stream processing, machine learning, and networking.
AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing
Distributed Stream Processing Systems (DSPSs) are among the currently most emerging topics in data management, with applications ranging from real-time event monitoring to processing complex dataflow programs and big data analytics.
Distributed, Parallel, and Cluster Computing Systems and Control Systems and Control
