On-Demand Webinar
Accelerating AI with Edge Training
Train smarter, stay compliant, and scale globally with federated learning.
As AI shifts from static models to continual improvement, organizations face new challenges in training at scale while maintaining compliance. Traditional centralized data approaches create risks around privacy, regulation, and latency.
This webinar explores how federated learning—combined with Zenlayer’s global edge infrastructure—enables smarter, faster, and privacy-preserving AI training across borders.
What you’ll learn:
- The difference between distributed and federated training—and when to use each
- How to overcome challenges like non-IID data, client drift, and privacy compliance
- How Zenlayer’s SDN and GPU Cloud accelerate training cycles and protect data integrity
Whether you’re just starting to explore federated learning or looking to scale global AI training efficiently, this session will deliver the insights needed to build high-performance, privacy-first AI infrastructures.

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