Distributed Learning for Virtual Network Management
A system for distributing multi-agent network models to enable self-scaling and resilient Next Generation networks through algorithmic and system solutions.
Product Information
- Description
- This innovative system addresses the growing demands of modern data-intensive applications like augmented reality, industrial automation, and healthcare by distributing multi-agent AI models across network infrastructure. It enables autonomous network scaling and resilience through algorithmic solutions that manage complexity in real-time environments requiring zero packet loss and high reliability. Key features include scalable machine learning frameworks for network management and robust learning mechanisms that adapt to practical deployment challenges. The system facilitates intelligent, self-adapting networks that can dynamically respond to changing conditions without centralized control, making it particularly valuable for next-generation networks supporting latency-sensitive and mission-critical applications.
- Categories
- Network Infrastructure Data & Machine Learning
Linked NGI Projects
This product was created or improved through NGI-funded projects
Often Used Together
Products commonly used alongside Distributed Learning for Virtual Network Management
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