byzantine resilience

Robust Decentralized Multi-armed Bandits: From Corruption-Resilience to Byzantine-Resilience AAAI 2026 Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025 EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025 LiD-FL: Towards List-Decodable Federated Learning AAAI 2025 On the Byzantine-Resilience of Distillation-Based Federated Learning ICLR 2025 Byzantine Resilient and Fast Federated Few-Shot Learning ICML 2024 Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NeurIPS 2024 Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024 Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization ICLR 2024 Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 Byzantine Machine Learning Made Easy By Resilient Averaging of Momentums ICML 2022 Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data ICML 2021 Byzantine-Resilient Non-Convex Stochastic Gradient Descent ICLR 2021 Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent ICLR 2021 Provably Secure Federated Learning against Malicious Clients AAAI 2021 Byzantine Resilient Distributed Multi-Task Learning NeurIPS 2020 Distributed Newton Can Communicate Less and Resist Byzantine Workers NeurIPS 2020 Analyzing Federated Learning through an Adversarial Lens ICML 2019 DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation NeurIPS 2019 FABA: An Algorithm for Fast Aggregation against Byzantine Attacks in Distributed Neural Networks IJCAI 2019 Lagrange Coded Computing: Optimal Design for Resiliency, Security, and Privacy AISTATS 2019 DRACO: Byzantine-resilient Distributed Training via Redundant Gradients ICML 2018 The Hidden Vulnerability of Distributed Learning in Byzantium ICML 2018