Handbook of Trustworthy Federated Learning

.- 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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• Aprendizagem mecânica
• Optimização
• Segurança do computador
• Segurança de redes

optimization federated learning;trustworthy federated learning;differential privacy;privacy-preserving;certified defenses;graph neural networks