FL Day 2 recap
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!
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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