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https://i124.fastpic.org/big/2025/0314/31/9a5fe36276bd8f234593f7cbd2df4831.webp
Free Download Cross-device Federated Recommendation: Privacy-Preserving Personalization
English | 2025 | ISBN: 9819632110 | 166 Pages | PDF (True) | 3.3 MB
This book introduces the prevailing domains of recommender systems and cross-device federated learning, highlighting the latest research progress and prospects regarding cross-device federated recommendation. As a privacy-oriented distributed computing paradigm, cross-device federated learning enables collaborative intelligence across multiple devices while ensuring the security of local data. In this context, ubiquitous recommendation services emerge as a crucial application of device-side AI, making a deep exploration of federated recommendation systems highly significant.

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