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Communication-Efficient Decentralized Multi-agent Machine Learning Method
Background
In decentralized machine learning systems, agents often have varying computational and communication resources, leading to straggler problems and inefficient training. Existing federated learning methods typically rely on a central server, creating a bottleneck and limiting scalability in resource-constrained or failure-prone environments.
Technology...
Published: 5/6/2025
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Inventor(s): Lei Yang, Seyed Mahmoud Sajjadi Mohammadabadi
Keywords(s):
Category(s): Technology Classifications > Software, Technology Classifications > Information & Communication Technologies
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