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Tools and insights to accelerate your AI journey
The Complete User Guide for Oct
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Technical Write-Ups
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Technical Write-Ups
3 minutes
Early Stopping Strategies for FL
Explore early stopping, why it is important, and its practical implementations for federated learning.
Technical Write-Ups
3 minutes
Tips for Time Series Data Splitting in FL
Ensure robust models by preserving chronological order and sequences when splitting time series data in OctaiPipe.
Case Studies
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Case Studies
2 minutes
Case Study: Federated Deep Well Failure Detection in Water Pumps
Discover how to predict pump failures for timely repairs, reducing water waste, and improving overall water management efficiency.
Case Studies
2 minutes
Improving Electro-Hydraulic Pump Prediction with Federated Edge AI
Find out how Domin Fluid Power reduced data transfer costs by 5x with OctaiPipe’s federated edge ai infrastructure.
Case Studies
2 minutes
Preventing Machine Stoppages in Real Time with Edge AI
Find out how CMBE reduced spoilage events, cut infrastructure costs, and increased revenue with OctaiPipe.
E-Books
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Ebook
10 minutes
Introducing FL-Ops: The Future for MLOps at the Edge
Unlock the power of intelligent, secure, and resilient AI for IoT systems with our comprehensive ebook packed with invaluable insights and practical strategies.
Ebook
9 minutes
Federated Learning for IoT: The Ultimate Guide
Federated machine learning is quickly becoming the new gold standard for addressing the security, efficiency, and scalability challenges of traditional machine learning. However, this cutting-edge
Whitepapers
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Whitepaper
4 minutes
Framework for Auditable Edge MLOps
Understand the governance framework for auditable edge MLOps, ensuring compliance with AI principles and robust audit trails.
Whitepaper
12 minutes
Framework for Explainable Edge MLOps
Learn about methods for making edge MLOps transparent and explainable, facilitating better understanding and trust in AI systems.
Whitepaper
14 minutes
Framework for accessing privacy accuracy trade-off in FL
Discover techniques to balance privacy and accuracy in AI models, optimizing both for enhanced data protection and performance.
Whitepaper
19 minutes
Fortifying AI Against Adversarial Attacks in Federated Learning
Explore a framework for fortifying federated learning against adversarial attacks, ensuring secure and robust AI deployments.
Whitepaper
8 minutes
OctaiPipe’s Federated XGBoost Implementation for Enhanced Data Privacy
FLeXGBoost improves communication efficiency, reduces power consumption, and enhances data privacy while maintaining high model accuracy.
Whitepaper
11 minutes
Federated Learning and Trust: Building Trustworthiness in Distributed AI Systems
Unveil strategies for navigating security challenges, achieving privacy-accuracy equilibrium, and ensuring model explainability across diverse edge devices.
Blogs
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Blog
3 minutes
Overcoming IT/OT Convergence Challenges with OctaiPipe
IT/OT convergence presents challenges for businesses seeking to optimise operations. Learn how OctaiPipe addresses these challenges on our blog.
Blog
3 minutes
Federated Learning & Differential Privacy: Enhancing AI Security
Discover how OctaiPipe integrates differential privacy into Federated Learning to protect Industrial IoT data from privacy attacks, ensuring secure AI deployment.
Blog
3 minutes
Federated Learning 101: Unlocking the Future of IoT
Discover how federated learning revolutionises AI by decentralising data training, enhancing privacy, and boosting efficiency in IoT. Unlock the future of intelligent, connected devices today.
Blog
6 minutes
Introducing SAFERAI: Safety Advancing Federated Estimation of Risk using AI
OctaiPipe, a pioneer in federated edge AI innovation, has joined forces with industry leaders P&G, Site Assist, Raiven , Digital Catapult and InnovateUK to deliver
Blog
2 minutes
AI Pioneer OctaiPipe selected for first British-German high-tech accelerator in Stuttgart
Octaipipe, a Federated Edge AI platform for Industrial IoT, has been selected to participate in the first UK-GermanyTech Accelerator programme in Stuttgart.
Blog
2 minutes
OctaiPipe Achieves a 66% Efficiency Gain in Federated Learning for Edge AI
OctaiPipe's newly-introduced Federated XGBoost algorithm cuts communication rounds between servers and customers by 66% compared to other Federated Learning implementations, while maintaining model accuracy.
Events
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