Security and Privacy in Federated Learning
Security and Privacy in Federated Learning
Yu, Shui; Cui, Lei
Springer Verlag, Singapore
03/2024
133
Mole
Inglês
9789811986949
15 a 20 dias
Descrição não disponível.
Chapter 1. Introduction of Federated Learning.- Chapter 2. Inference Attacks and Counter Attacks in Federated Learning.- Chapter 3. Poisoning Attacks and Counter Attacks in Federated Learning.- Chapter 4. GAN Attacks and Counter Attacks in Federated Learning.- Chapter 5. Differential Privacy in Federated Learning.- Chapter 6. Secure Multi-Party Computation in Federated Learning.- Chapter 7. Secure Data Aggregation in Federated Learning.- Chapter 8. Anonymous Communication and Shuffle Model in Federated Learning.- Chapter 9. The Future Work.
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Security and privacy;Federated learning;Attacks and counter attacks;GAN attacks;Inference attacks;Poison attacks;Multiple party computing;Homomorphic encryption
Chapter 1. Introduction of Federated Learning.- Chapter 2. Inference Attacks and Counter Attacks in Federated Learning.- Chapter 3. Poisoning Attacks and Counter Attacks in Federated Learning.- Chapter 4. GAN Attacks and Counter Attacks in Federated Learning.- Chapter 5. Differential Privacy in Federated Learning.- Chapter 6. Secure Multi-Party Computation in Federated Learning.- Chapter 7. Secure Data Aggregation in Federated Learning.- Chapter 8. Anonymous Communication and Shuffle Model in Federated Learning.- Chapter 9. The Future Work.
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.