What are the main challenges in collaborative machine learning?

What are the main challenges in collaborative machine learning?

Some key challenges include data privacy, communication overhead, and model convergence issues.

Can you explain how data privacy affects collaborative ML?

Data privacy is crucial as participants may not want to share sensitive data, leading to the need for secure aggregation methods.

What are some solutions to these challenges?

Solutions include federated learning, differential privacy techniques, and efficient communication protocols.

How does federated learning work in this context?

Federated learning allows models to be trained across multiple devices without sharing raw data, enhancing privacy.