Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Federated Learning: Foundations and Applications

Federated Learning: Foundations and Applications

Buyya, Rajkumar
Mukherjee, Anwesha
Das, Sajal K.

Paperback

General Computers

PREORDER - Expected ship date June 1, 2026

ISBN10: 0443444331
ISBN13: 9780443444333
Publisher: Morgan Kaufmann Publishers
Published: Jun 1 2026
Pages: 250
Weight: 0.99
Language: English
Federated Learning: Foundations and Applications provides a comprehensive guide to the foundations, architectures, systems, security, privacy, and applications of federated learning. Federated Learning has become an increasingly important machine learning technique because it introduces local data analysis within clients and requires exchange of only model parameters between clients and servers. This book covers the fundamental concepts of Federated Learning, including machine learning, deep learning, centralized learning, and distributed learning processes. The book then progresses to coverage of the architectures, algorithms, and system models of Federated Learning, as well as security, privacy, and energy-efficiency techniques. Finally, the book presents various applications of Federated Learning through real-world case studies illustrating both centralized and decentralized Federated Learning.

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