1. 2019 Lenovo & byteLAKE. All rights reserved.
AI Federated
Learning for IoT
Marcin Rojek | byteLAKE’s co founder
Robert Daigle | Lenovo AI Marketing Leader

2. Enabling IoT devices to learn from each other
What is AI Federated Learning?
2019 Lenovo. All rights reserved.BC
Federated
Learning
AI
IoT
Connected Edge Devices
Deriving intelligence
from device data
Improving performance
@ the edge.
Why is it important?
• Reduce network
bandwidth constraints
• Improve security
• Better personalization of
predictions

3. Solutions to meet you where you are
Starting your AI journey
2019 Lenovo. All rights reserved.
Deploy
Simplified Deployment
End-to-End Rapid
Deployment
Develop
Tools for fast start
Plug-and-play
Simplicity
Discover
Experience AI
Ecosystem of
Experts and Partners
Worldwide AI
Innovation Centers
HW & SW Platforms
for app development
Solution guidance &
Professional Services
BC

4. 2019 Lenovo & byteLAKE. All rights reserved.
Enabling devices (IoT)
to learn
from each other
Beyond AI on Edge is… Federated Learning
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5. 2019 Lenovo & byteLAKE. All rights reserved.
How it works?
Federated Learning
8
Machine
Learning
Sensor
Data
Time
Local training & inferencing
Intelligent Device
Aggregating local models
(black box)
Federated Learning
Data Center

6. 2019 Lenovo & byteLAKE. All rights reserved.
Simulation
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➢ learning to predict pressure changes (locally)
➢ learning locally & from already trained systems (federated learning)
Fan 1 Fan 2
Barometric
pressure
sensor
Filter 1 Filter 2
Styrofoam
balls
Flying Styrofoam balls…
… simulate filters clogging
& pressure changes.

7. 2019 Lenovo & byteLAKE. All rights reserved. 10

8. 2019 Lenovo & byteLAKE. All rights reserved.2019 Lenovo & byteLAKE. All rights reserved.
The great question of the 21st century:
Whose black box do you trust?
John Mattison, the Chief Medical Information Officer
of Kaiser Permanente
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