Federated AI for Real-World Business Scenarios
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9

(FIVE YEARS 9)

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Published By CRC Press

9781003027171

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Naive Federated Learning Approaches

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-3 ◽

2021 ◽

pp. 59-78

Author(s):

Dinesh C. Verma

Keyword(s):

Learning Approaches

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Use Cases

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-9 ◽

2021 ◽

pp. 171-185

Author(s):

Dinesh C. Verma

Keyword(s):

Use Cases

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Addressing Data Mismatch Issues in Federated AI

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-4 ◽

2021 ◽

pp. 79-105

Author(s):

Dinesh C. Verma

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Addressing Vertical Partitioning Issues in Federated Learning

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-8 ◽

2021 ◽

pp. 158-170

Author(s):

Dinesh C. Verma

Keyword(s):

Vertical Partitioning

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Addressing Trust Issues in Federated Learning

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-6 ◽

2021 ◽

pp. 122-142

Author(s):

Dinesh C. Verma

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Addressing Data Skew Issues in Federated Learning

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-5 ◽

2021 ◽

pp. 106-121

Author(s):

Dinesh C. Verma

Keyword(s):

Data Skew

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Scenarios for Federated AI

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-2 ◽

2021 ◽

pp. 32-58

Author(s):

Dinesh C. Verma

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Introduction to Artificial Intelligence

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-1 ◽

2021 ◽

pp. 1-31

Author(s):

Dinesh C. Verma

Keyword(s):

Artificial Intelligence

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Addressing Synchronization Issues in Federated Learning

Federated AI for Real-World Business Scenarios ◽

10.1201/9781003027171-7 ◽

2021 ◽

pp. 143-157

Author(s):

Dinesh C. Verma

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