ML System Design: Federated Learning

NILG.AI, together with Neu.ro decided to try a format similar to a Reading Club, where the topic is not a specific paper but an entire research area. After a short discussion, we had a System Design part where the team described a specific use case to apply the new approach. Ideally, the discussion would stick to the format of a typical System Design interview — however, our first exploratory attempt appeared to be rather a freestyle.

In our Session #1, held on 2021–05–27, an ML team from NILG.AI led by Paulo Maia, and an MLOps team from Neu.ro led by Artem Yushkovsky met. The leaders researched the topic preliminarily and prepared a theoretical presentation for ~30-min so that everyone could be on the same page. Then, we had a ~90-minute practical part where both teams discussed technical aspects (both ML and MLOps) of the architecture for a given use-case, putting their thoughts to a Miro board.

The outcomes are shared in a Medium article (7-10 min read), where you can see a high-level overview of the outcomes of this session and the takeaways.

Let us know if you have any comments about this topic!

Like this story?

Subscribe to Our Newsletter

Special offers, latest news and quality content in your inbox.

Signup single post

Consent(Required)
This field is for validation purposes and should be left unchanged.

Recommended Articles

Article
7 Ways AI in Supply Chain Management is Transforming Logistics

The AI Revolution in Supply Chain Management Want to know how AI is reshaping supply chain management? This listicle dives into seven key applications of AI in supply chain management, offering practical insights for business executives, IT professionals, operations managers, and entrepreneurs alike. Discover how AI-powered solutions can optimize everything from demand forecasting and supplier […]

Read More
Article
7 Employee Training Best Practices for 2025

Level Up Your Team with These Top Training Practices Want a workforce equipped with the skills to crush it in 2025 and beyond? This listicle delivers seven employee training best practices to boost your team’s performance and maximize your training ROI. We’ll cover everything from needs-based training assessments and microlearning to personalized learning and gamification. […]

Read More
Article
Machine Learning Business Analytics: Key Strategies for Growth

The Strategic Edge of Machine Learning Business Analytics Machine learning business analytics isn’t some far-off fantasy anymore. It’s actively changing how businesses operate today. Smart companies are ditching old-school reports for predictive tools that boost their profits. This means using pattern recognition and algorithms to discover insights that humans would miss. These insights help businesses […]

Read More