Abstract: Federated Learning (FL) allows multiple data owners to jointly train machine learning models by sharing local models instead of raw private data, alleviating data privacy concerns. However, ...

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...

What if building an AI agent wasn’t just about coding, but about crafting a system as intricate and adaptable as the human mind? Imagine an AI assistant that not only remembers your preferences but ...

While Lambda functions can have longer timeout values (up to 15 minutes), API Gateway will terminate the request if it exceeds its integration timeout. The Serverless Framework doesn't natively ...

This test app implements a NodeJS REST API for running in Lambda that can also be tested locally. It uses the express and serverless-http node packaged modules. This is based on the excellent tutorial ...

Abstract: Federated learning (FL) is an emerging distributed machine learning paradigm that has privacy-preserving properties, but still poses privacy leakage risks in traditional centralized FL (CFL) ...