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FL Day 2 recap

A visually engaging image depicting federated learning with a focus on client-server and peer-to-peer communication, showcasing data flow and collaboration in technology.

Cross-Silo Federated Learning Quiz

Test your knowledge on cross-silo federated learning and related concepts! This quiz covers various techniques, types of data heterogeneity, and collaborative learning methods.

5 engaging questions
Check your understanding of key concepts
Perfect for students, researchers, and professionals!

5 Questions1 MinutesCreated by LearningTree351

What is typical to cross-silo FL?

Relatively low number of clients

Massive number of clients (>100K)

Relatively few failures

Highly unreliable - 5% or more of clients in a round are expected to fail

Which techniques can be used to reduce communication costs?

Local model compression

Global model compression

Local computation reduction

Client sampling

Reduction of the number of federated cycles

Which type of data heterogeneity describes the following example: Images of houses may vary dramatically around the world and in different seasons.

Concept drift - same label different features

Concept shift - same feature different label

Feature distribution skew

Label distribution skew

What is typical to peer-to-peer learning?

There is always a central communication through the server

The clients can communicate with each other

Harder coordination of the process due to the absence of centralised server

What is a split learning?

When clients train models locally and then send them to the server for the aggregation.

When clients send/receive models only to/from each other.

When client train only part of the model, sends “smashed data” to the server which keeps on training the rest layers of the m

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