
0:00-45:25
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Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also explore how the generative Generative AI boom is reshaping Flower’s roadmap.
Featuring:
- Chong Shen Ng – LinkedIn
- Chris Benson – Website, GitHub, LinkedIn, X
- Daniel Whitenack – Website, GitHub, X
Episode links:
- The future of AI training is federated
- DeepLearning.ai short course on Federated Learning with Flower
- Flower Monthly
- Federated Learning in Automotive
- Federated AI in Finance
- Federated Learning in Healthcare
- Federated AI on IoT Systems
- FlowerTune LLM Leaderboard
- Flower Intelligence
- GitHub
- Slack
- Flower Discuss
Check out upcoming webinars!
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LinkedIn
linkedin.comWebsite
chrisbenson.comGitHub
github.comLinkedIn
linkedin.comX
x.comWebsite
datadan.ioGitHub
github.comX
x.comThe future of AI training is federated
pretalx.comFlower Monthly
flower.aiFederated Learning in Automotive
flower.aiFederated AI in Finance
flower.aiFederated Learning in Healthcare
flower.aiFederated AI on IoT Systems
flower.aiFlowerTune LLM Leaderboard
flower.aiFlower Intelligence
flower.aiGitHub
github.comSlack
friendly-flower.slack.comFlower Discuss
discuss.flower.aiupcoming webinars
practicalai.fmnordlayer.com/practicalai
nordlayer.com