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Vertical FL

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DataFunSummit
DataFunSummit
Dec 28, 2022 · Artificial Intelligence

Federated Learning in Advertising: Business Background, Conversion Flow, Algorithmic Techniques, Vertical & Horizontal FL, and Security

This article explains how federated learning is applied to the advertising industry, covering business background, conversion processes from user, client, and server perspectives, algorithmic components such as CTR and CVR models, vertical and horizontal federated learning architectures, compression techniques, and security challenges with corresponding defenses.

Conversion TrackingFederated LearningHorizontal FL
0 likes · 22 min read
Federated Learning in Advertising: Business Background, Conversion Flow, Algorithmic Techniques, Vertical & Horizontal FL, and Security
DataFunTalk
DataFunTalk
Aug 28, 2022 · Artificial Intelligence

Federated Learning in Advertising: Business Background, Conversion Flow, Algorithm Techniques, Vertical & Horizontal FL, and Security

This presentation by Huawei federated‑learning expert Liu Lu explains how federated learning can be applied to the advertising ecosystem, covering business background, multi‑perspective conversion processes, core ad‑ranking algorithms, vertical and horizontal federated learning architectures, and the associated attack‑defense techniques.

AIAdTechFederated Learning
0 likes · 23 min read
Federated Learning in Advertising: Business Background, Conversion Flow, Algorithm Techniques, Vertical & Horizontal FL, and Security
DataFunSummit
DataFunSummit
Aug 7, 2022 · Artificial Intelligence

Vertical Federated Learning: Characteristics, Research Directions, and Performance Optimization

This article introduces federated learning, traces its evolution, compares horizontal and vertical federated learning, analyzes the unique computational traits of vertical FL, and presents practical performance‑optimization techniques such as offline computation, sparse‑data handling, communication compression, and homomorphic encryption integration.

Federated LearningVertical FLmachine learning
0 likes · 13 min read
Vertical Federated Learning: Characteristics, Research Directions, and Performance Optimization
DataFunTalk
DataFunTalk
Aug 24, 2021 · Artificial Intelligence

De‑identification in Federated Learning: Using xID Technology to Protect Sample Intersection Information

This article explains federated learning, its vertical and horizontal variants, the privacy risks of sample intersection in financial scenarios, reviews common de‑identification methods, and introduces the xID technique with generation‑mapping services to securely protect intersecting data while enabling collaborative AI modeling.

Artificial IntelligenceData De-identificationFederated Learning
0 likes · 13 min read
De‑identification in Federated Learning: Using xID Technology to Protect Sample Intersection Information