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Deep Dive into Kubernetes Network Policy and Security with Cilium 1.13 and eBPF v2
Data Science 3 min read

Deep Dive into Kubernetes Network Policy and Security with Cilium 1.13 and eBPF v2

Learn how to improve the security and performance of your Kubernetes network policies with Cilium 1.13 and eBPF v2. Get started with our step-by-step guide and real-world examples.

NextGenBeing Founder

NextGenBeing Founder

Dec 19, 2025

27 0
Fortifying API Security with OAuth 2.2 and OpenID Connect 2.0: A Practical Guide
AI Workflows 3 min read

Fortifying API Security with OAuth 2.2 and OpenID Connect 2.0: A Practical Guide

Learn how to fortify API security with OAuth 2.2 and OpenID Connect 2.0

NextGenBeing Founder

NextGenBeing Founder

Oct 20, 2025

67 0
Deploying and Scaling Laravel Applications on AWS: A Senior Engineer's Guide
Career & Industry 3 min read

Deploying and Scaling Laravel Applications on AWS: A Senior Engineer's Guide

Learn how to deploy and scale your Laravel application on AWS with this comprehensive guide. From setting up your AWS environment to handling common issues, this guide covers it all.

NextGenBeing Founder

NextGenBeing Founder

Dec 11, 2025

50 0
Federated Learning with TensorFlow Federated 1.2 and Scikit-learn 1.3: A Comparative Study on Privacy-Preserving ML for Healthcare Data
AI Workflows 4 min read

Federated Learning with TensorFlow Federated 1.2 and Scikit-learn 1.3: A Comparative Study on Privacy-Preserving ML for Healthcare Data

Federated learning is a machine learning approach that enables multiple actors to collaborate on model training while maintaining data private. This article explores the use of TensorFlow Federated 1.2 and Scikit-learn 1.3 for federated learning on healthcare data.

NextGenBeing Founder

NextGenBeing Founder

Dec 17, 2025

62 0 0
federated learning healthcare +2
Fine-Tuning Llama-Adapter for Multimodal Dialogue Systems with Federated Learning and Differential Privacy
Premium
Operating Systems 4 min read

Fine-Tuning Llama-Adapter for Multimodal Dialogue Systems with Federated Learning and Differential Privacy

Fine-tune Llama-Adapter in a federated learning setup with differential privacy to achieve high performance while preserving client privacy. Learn how to employ advanced techniques such as federated averaging and learning rate schedules to optimize the fine-tuning process.

NextGenBeing Founder

NextGenBeing Founder

Nov 30, 2025

30 0 0
Natural Language Processing federated learning +1