robust aggregation

Byzantine-Robust and Differentially Private Federated Optimization under Weaker Assumptions UAI 2026 Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data JMLR 2025 Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024 Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning ICML 2024 RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation NeurIPS 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NeurIPS 2024 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting ICML 2023 FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning ICLR 2023 H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 Robust and Actively Secure Serverless Collaborative Learning NeurIPS 2023 Learning to Attack Federated Learning: A Model-based Reinforcement Learning Attack Framework NeurIPS 2022 Shielding Federated Learning: Robust Aggregation with Adaptive Client Selection IJCAI 2022 Learning from History for Byzantine Robust Optimization ICML 2021 Robustness of Graph Neural Networks at Scale NeurIPS 2021 Reliable Graph Neural Networks via Robust Aggregation NeurIPS 2020 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019