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Reference material – AI Labs brochure

The Edge Learning Consortium has enabled partners to tackle some of the most pressing AI challenges across multiple sectors, demonstrating the power of AI Labs’ consortium model. Scroll for some of the key results and resources from the Edge Learning Consortium.

Two women in AI Swedens AI Edge Lab in Gothenburg looking at hardware. Green, yellow and pink lights shining

Results: verifying the power of Edge learning

Advanced AI research in federated learning & decentralized AI architectures

Accelerated AI innovation in mobility, healthcare, infrastructure, security & space

Strengthened Sweden's AI ecosystem

Launched new talent programs to build human capacity while solving partner problems

Positioned AI Sweden as a leader in Decentralized Learning & AI Security

Related projects

Edge Learning Lab

Consortium

In 2021, AI Sweden launched the Edge Learning Lab together with industrial partners. Since then the lab has gained significant international attention and AI Sweden formed a consortium with...
an icon showing a shield with incoming arrow, AI in the center and threat being dissolved into stars

LeakPro: Leakage profiling and risk oversight for machine learning models

Many recent works have highlighted the possibility of extracting data from trained machine-learning models. However, these examples are typically performed under idealistic conditions and it is...
Cars connected as an illustration of federated fleet learning

Federated Fleet Learning

As the focus on policies and regulations concerning data sharing, security and storage intensifies, conventional centralized AI approaches to model training are anticipated to face mounting challenges...
Federated Learning In Banking

Federated Learning In Banking

Money laundering poses a significant societal threat as it enables criminals to utilize illicit funds, undermines public trust, and damages the financial system. To combat money laundering...
Satellite view

Swedish Space Data Lab 3.0

Space data can be used for weather forecasting, climate monitoring, forestry, and agriculture. The need to analyze, make available, and coordinate data is steadily increasing. The Swedish Space Data...
An AI-generated image showing cars driving and people walking in a city setting

Next generation infrastructure

Within the Next generation infrastructure project, AI Sweden is developing next-generation infrastructure for the training, deployment, and iterative improvement of foundation models by addressing...
Golden honeycomb pattern on a computer component with a metallic shine

AI-Powered Honeypots

Honeypots are decoy computing systems that mimic real environments to trick attackers into revealing their tools. Can AI enhance honeypot deception to increase cybersecurity?
A women putting up a post-it on a whiteboard and a man reading a post-it during a workshop

Data-driven organizations – Best practices for AI operationalization in Sweden

How can an organization truly become data-driven? AI Sweden's MLOps project, formally titled "Data-driven organizations – Best practices for operationalization of AI in Sweden," aims to answer this...

Scientific publications

In many areas, including federated learning and NLU, AI Sweden's work is at the absolute forefront. Some of the work that is done together with our partners results in scientific articles.

Screenshot showing the first page of the article named: Decoupled Subgraph Federated Learning

Decoupled Subgraph Federated Learning

Javad Aliakbari, Johan Östman and Alexandre Graell i Amat. 2024. FedStruct: Federated Decoupled Learning over Interconnected Graphs

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Screenshot showing the first page of the article named: Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy

Publishing Neural Networks in Drug Discovery Might Compromise Training Data Privacy

Fabian P. Krüger, Johan Östman, Lewis Mervin, Igor V. Tetko and Ola Engkvist. Submitted to Nature Machine Intelligence 2024.

Read now

Videos

Select AI Sweden podcast episodes

Join our journey into the future of AI

As we move forward with new consortiums, we will continue to push the limits of AI, contribute to shaping the global AI agenda, and inspire the next generation of innovators.

To AI Sweden’s partners—past, present, and future—this is your success too. You are part of something groundbreaking. New consortiums are currently being formed in AI and Security and in Automotive, and there are more to come. To learn more about your opportunities here and engage - contact your partner manager AI Sweden.