Handbook of Trustworthy Federated Learning

Handbook of Trustworthy Federated Learning

Thuraisingham, Bhavani; Phan, Hai N.; Thai, My T.

Springer International Publishing AG

09/2024

428

Dura

9783031589225

15 a 20 dias

Descrição não disponível.
.- Trustworthiness, Privacy and Security in Federated Learning. - Secure Federated Learning.- Data Poisoning and Leakage Analysis in Federated Learning.- Robust Federated Learning against Targeted Attackers using Model Updates Correlation.- Un-Fair Trojan: Targeted Backdoor Attacks Against Model Fairness.- Federated Bilevel Optimization.- A Two-Stage Stochastic Programming Approach for the Key Management ??-Composite Scheme.- Recent Advances in Federated Graph Learning.- Privacy in Federated Learning Natural Language Models.- Federated Learning of Models Pre-Trained on Different Features with Consensus Graphs.- Robust Federated Learning for Edge Intelligence.- ZoneFL: Zone-based Federated Learning at the Edge.- Synthetic Data for Privacy Preservation in Distributed Data Analysis Systems.- Towards Green Federated Learning.
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optimization federated learning;trustworthy federated learning;differential privacy;privacy-preserving;certified defenses;graph neural networks