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conftrace_

distributed learning

611 papers

Papers

H-nobs: Achieving Certified Fairness and Robustness in Distributed Learning on Heterogeneous Datasets NeurIPS 2023 IBA: Towards Irreversible Backdoor Attacks in Federated Learning NeurIPS 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 Is Consensus Acceleration Possible in Decentralized Optimization over Slowly Time-Varying Networks? ICML 2023 Large-Scale Distributed Learning via Private On-Device LSH NeurIPS 2023 Learning Federated Visual Prompt in Null Space for MRI Reconstruction CVPR 2023 Learning Kernelized Contextual Bandits in a Distributed and Asynchronous Environment ICLR 2023 MAS: Towards Resource-Efficient Federated Multiple-Task Learning ICCV 2023 MKOR: Momentum-Enabled Kronecker-Factor-Based Optimizer Using Rank-1 Updates NeurIPS 2023 Momentum Provably Improves Error Feedback! NeurIPS 2023 Moving-Landmark Assisted Distributed Learning Based Decentralized Cooperative Localization (DL-DCL) with Fault Tolerance AAAI 2023 Multi-Agent Learning with Heterogeneous Linear Contextual Bandits NeurIPS 2023 Network Effects in Performative Prediction Games ICML 2023 On Biased Compression for Distributed Learning JMLR 2023 On the Convergence of Distributed Stochastic Bilevel Optimization Algorithms over a Network AISTATS 2023 On the Privacy-Robustness-Utility Trilemma in Distributed Learning ICML 2023 Optimal Resource Allocation for Early Stopping-based Neural Architecture Search Methods AutoML 2023 OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning IJCAI 2023 Petals: Collaborative Inference and Fine-tuning of Large Models ACL 2023 Poisoning with Cerberus: Stealthy and Colluded Backdoor Attack against Federated Learning AAAI 2023 Private Federated Frequency Estimation: Adapting to the Hardness of the Instance NeurIPS 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023 Resolving the Tug-of-War: A Separation of Communication and Learning in Federated Learning NeurIPS 2023 Re-Thinking Federated Active Learning Based on Inter-Class Diversity CVPR 2023 Robust Collaborative Learning with Linear Gradient Overhead ICML 2023