Big Data Glossary
What is Federated Learning?
Definition of Federated Learning
What is Federated Learning?
Federated learning is a machine learning technique that allows models to be trained across multiple decentralized devices or servers without sharing raw data. It helps preserve privacy and reduces the need for data to be centralized.
Introducing Crosser
The All-in-One Platform for Modern Integration
Crosser is a hybrid-first platform that in one Low-code platform has all the capabilities that you traditionally would need several systems for.
In one easy-to-use platform:
- Event Processing
- Data Ingestion & Integration
- Streaming ETL
- Batch ETL/ELT
- Reverse ETL - bidirectional
- Stream Analytics
- Functions & custom code (python, C#, JavaScript)
- Inference of AI/ML models
- Automation Workflows
Platform Overview
Crosser Solution for Data Mining
Explore the key features of the platform here →
Want to learn more about how Crosser could help you and your team to:
- Build and deploy data pipelines faster
- Save cloud cost
- Reduce use of critical resources
- Simplify your data stack
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