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Project Lightning Talk: Empowering Federated Learning with Multi-Cluster Management for Privacy and Efficiency

Lightningat KubeCon + CloudNativeCon Europe 2025 · on Tuesday, 2025-04-01· at 12:20· Platinum Suite | Level 3· [machine-learning, kubernetes]
name:Meng Yan
links:none on file
slides:none on file

Shows an end-to-end integration of Open-Cluster-Management with Federated Learning that moves model updates not data, cutting cross-cluster bandwidth and storage needs while keeping private data local. Uses OCM hub as FL aggregator and managed clusters as clients, supports Flower OpenFL and FATE via a controller with CRD to manage workflows, requires containerized training images, and surfaces statuses waiting→running→complete. The built controller schedules server and clients across hub‑spoke clusters and demonstrates successful converged global models without data transfer.

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