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FedSelect: Personalized Federated Learning with Customized Selection of Parameters for Fine-Tuning., , , , , and . CoRR, (2024)Differentially Private Synthetic Data via Foundation Model APIs 2: Text., , , , , , , , , and 2 other author(s). CoRR, (2024)Improving Privacy-Preserving Vertical Federated Learning by Efficient Communication with ADMM., , , and . CoRR, (2022)Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks., , , , , and . CCS, page 1511-1525. ACM, (2023)CoPur: Certifiably Robust Collaborative Inference via Feature Purification., , , and . NeurIPS, (2022)DBA: Distributed Backdoor Attacks against Federated Learning., , , and . ICLR, OpenReview.net, (2020)Data Quality Transaction on Different Distributed Ledger Technologies., , , , and . BigSDM, volume 11473 of Lecture Notes in Computer Science, page 301-318. Springer, (2018)Subnet Replacement: Deployment-stage backdoor attack against deep neural networks in gray-box setting., , , and . CoRR, (2021)FedMLSecurity: A Benchmark for Attacks and Defenses in Federated Learning and LLMs., , , , , , , , , and 3 other author(s). CoRR, (2023)FOCUS: Fairness via Agent-Awareness for Federated Learning on Heterogeneous Data., , , , , , and . CoRR, (2022)