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Federated Learning Systems: Privacy-Preserving Distributed AI (1st Edition) by Muhammad Habib ur Rehman & Mohamed Medhat Gaber - 2025/2026 Exam Prep
Master the complexities of modern AI with 'Federated Learning Systems: Towards Privacy-Preserving Distributed AI'. This complete guide, updated for the 2025/2026 academic year, is your key to understanding distributed machine learning while prioritizing data privacy. Authored by leading experts Muhammad Habib ur Rehman and Mohamed Medhat Gaber, this resource delves into the core principles, algorithms, and real-world applications of federated learning. It is expertly designed to provide students with the in-depth knowledge needed to excel in their exams and pass on the first try, avoiding costly resits. Get ahead in your studies and secure top grades in computational intelligence and AI courses.
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