Federated Learning: From Algorithms to System Implementation
SKU: 58632455883

Federated Learning: From Algorithms to System Implementation

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Federated Learning: From Algorithms to System ImplementationAuthored by researchers and practitioners who build cutting edge federated learning applications to solve real world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms

Authored by researchers and practitioners who build cutting-edge federated learning applications to solve real-world problems, this book covers the spectrum of federated learning technology from concepts and application scenarios to advanced algorithms and finally system implementation in three parts. It provides a comprehensive review and summary of federated learning technology, as well as presenting numerous novel federated learning algorithms which no other books have summarized. The work also references the most recent papers, articles and reviews from the past several years to keep pace with the academic and industrial state of the art of federated learning.

 

The first part lays a foundational understanding of federated learning by going through its definition and characteristics, and also possible application scenarios and related privacy protection technologies. The second part elaborates on some of the federated learning algorithms innovated by JD Technology which encompass both vertical and horizontal scenarios, including vertical federated tree models, linear regression, kernel learning, asynchronous methods, deep learning, homomorphic encryption, and reinforcement learning. The third and final part shifts in scope to federated learning systems - namely JD Technology's own FedLearn system - by discussing its design and implementation using gRPC, in addition to specific performance optimization techniques plus integration with blockchain technology.

 

This book will serve as a great reference for readers who are experienced in federated learning algorithms, building privacy-preserving machine learning applications or solving real-world problems with privacy-restricted scenarios.

 

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SKU: 58632455883

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Lapayswa Nimmons
Boise, US
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My dog destroyed this toy in 72 hours
Color: Blue Bird, Color: Blue Bird
Loved the toy but unfortunately this indestructible toy was destroyed by my Yorkie puppy in 3 days
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doughbowlmaker
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Great wrestle or chewing toy for your pet.
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My 4 legged "little boy" loves to play, even at 10 years old but is getting a tad "over the hill" for chasing a ball. This toy has brought him (and me) many hours of fun as it can be played with in the house without chance breaking something (it is soft) and was fairly well thought out - being made with the "squeeker" in one end, and a couple of ropes sewn in to provide a "tug of war" when he is really feeling frisky. I've had it around 6 months and it has only incurred minor damage and really just normal wear and tear considering what it has gone thru. A great toy for the price that your pet may play with by itself, or one you can use to wrestle with it so you can be part of the action. When this one is finally torn apart, I will be buying another one (if the dog out lasts it), or I will bury my pet with this one if it out lasts him. It's that special.
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B. Bishop
Louisville, US
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Cute and durable dog toy
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This cute dog toy that has everything - rope for pulling and squeaks. Fun for all sizes of dogs.
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Erin Brant
Waukegan, US
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Fun for our puppies
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Fun tug of war toy for our heeler pups. They haven't destroyed it yet but time will tell. Cute, and easy to take with us to the park.
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candybar5
New York, US
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Dog toy for heavy chewers
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This is pretty durable. My puppy chews up most stuffed toys. This one is still mostly intact. It’s missing one ear and the tail but the way it was sewn it’s still very usable. It’s one of his favorite toys
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Reviewed in the United States on January 7, 2026

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