conftrace_

byzantine robustness

21 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) distributed optimization (275) stochastic gradient descent (1091) communication compression (55) byzantine attack (17) robust aggregation (15) byzantine fault tolerance (27) model aggregation (156) stochastic optimization (1060)

Papers

EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025
Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
BOBA: Byzantine-Robust Federated Learning with Label Skewness AISTATS 2024
A Huber Loss Minimization Approach to Byzantine Robust Federated Learning AAAI 2024
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024
Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023
Byzantine-Tolerant Methods for Distributed Variational Inequalities NIPS 2023
Byzantine-Robust Federated Learning with Optimal Statistical Rates AISTATS 2023
Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022
ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022
Renyi Differential Privacy of Propose-Test-Release and Applications to Private and Robust Machine Learning NIPS 2022
Learning from History for Byzantine Robust Optimization ICML 2021
Provably Secure Federated Learning against Malicious Clients AAAI 2021
Distributed Training with Heterogeneous Data: Bridging Median- and Mean-Based Algorithms NIPS 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks NIPS 2020
RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets AAAI 2019