{"product_id":"federated-learning-with-r-build-privacy-preserving-ai-distributed-models-and-secure-machine-learning-systems-without-centralizing-data-9798253828946","title":"Federated Learning with R: Build Privacy-Preserving AI, Distributed Models, and Secure Machine Learning Systems Without Centralizing Data","description":"\u003cp\u003e • Author(s): Walton Bryant\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: Probability \u0026amp; Statistics - General\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eFEDERATED LEARNING WITH R\u003c\/b\u003e\u003cb\u003e: Build Privacy-Preserving AI, Distributed Models, and Secure Machine Learning Systems Without Centralizing Data\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eMost machine learning systems assume one thing: data can be centralized.\u003c\/p\u003e\u003cp\u003eIn the real world, that assumption fails.\u003c\/p\u003e\u003cp\u003eData is fragmented across organizations, devices, and regions. Regulations restrict access. Privacy risks increase with every transfer. Traditional pipelines break not because the models are weak, but because the system design is wrong.\u003c\/p\u003e\u003cp\u003eThis book shows you how to fix that.\u003c\/p\u003e\u003cp\u003eInstead of forcing data into a single location, you'll learn how to build models that move to the data-training across distributed environments without exposing sensitive information.\u003c\/p\u003e\u003cp\u003eThis is not a theoretical guide. It is a system-building manual.\u003c\/p\u003e\u003cp\u003eInside, you'll learn how to: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\u003cb\u003eBuild federated learning systems in R from the ground up\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eTrain distributed models across multiple clients without sharing raw data\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eImplement robust aggregation strategies that don't collapse under real conditions\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eHandle non-IID data and stabilize training across heterogeneous environments\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eApply differential privacy and secure aggregation to protect sensitive information\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eReduce communication cost without sacrificing model performance\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eDesign fault-tolerant systems that continue to function under failure\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eDeploy federated pipelines across cloud and edge environments\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eEvaluate models under real-world constraints, not ideal assumptions\u003c\/b\u003e\u003c\/li\u003e\n\u003cli\u003e\u003cb\u003eBuild a complete end-to-end federated learning system ready for production\u003c\/b\u003e\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eThis book is for: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eData scientists building privacy-aware systems\u003c\/li\u003e\n\u003cli\u003eMachine learning engineers working with distributed data\u003c\/li\u003e\n\u003cli\u003eR users moving into advanced AI system design\u003c\/li\u003e\n\u003cli\u003eOrganizations that cannot centralize data but still need high-performance models\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003eWhat makes this book different: \u003c\/p\u003e\u003cp\u003eIt does not pretend federated learning is simple.\u003cbr\u003eIt shows you where systems break and how to fix them.\u003c\/p\u003e\u003cp\u003eYou won't just understand federated learning.\u003cbr\u003eYou'll build systems that actually work.\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47775546540183,"sku":"9798253828946","price":1741.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798253828946.webp?v=1777991027","url":"https:\/\/atlanticbooks.com\/products\/federated-learning-with-r-build-privacy-preserving-ai-distributed-models-and-secure-machine-learning-systems-without-centralizing-data-9798253828946","provider":"Atlantic Books","version":"1.0","type":"link"}