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December 11, 2023
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Federated Learning for IoT: What the Papers Don't Show You
Federated learning is compelling for privacy-preserving training on edge devices. The system-level challenges — heterogeneous hardware, intermittent connectivity, staleness — make it harder than the papers suggest.
Federated learning is compelling for privacy-preserving training on edge devices. The system-level challenges — heterogeneous hardware, intermittent connectivity, staleness — make it harder than the papers suggest.
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Tags
- federated-learning
- iot
- machine-learning
- privacy
- distributed-systems
M
Manish Bookreader
Electronics enthusiast, Embedded Systems Expert, Linux/Networking programmer, and Software Engineer passionate about AI, electronics, books, and cooking.
