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Distributed Learning

1,135 papers

Papers per year

6
20
109
93
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'15
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Papers

AsGrad: A Sharp Unified Analysis of Asynchronous-SGD Algorithms AISTATS 2024
Recovery Guarantees for Distributed-OMP AISTATS 2024
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates AISTATS 2024
Queuing dynamics of asynchronous Federated Learning AISTATS 2024
GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024
Communication-Efficient Federated Learning With Data and Client Heterogeneity AISTATS 2024
Causal Discovery Under Local Privacy CLEAR 2024
One Year of Continuous and Automatic Data Gathering from Parliaments of European Union Member States COLING 2024
Robust Distribution Learning with Local and Global Adversarial Corruptions (extended abstract) COLT 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024
Nearly Optimal Regret for Decentralized Online Convex Optimization COLT 2024
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024
Federated Generalized Category Discovery CVPR 2024
JointSQ: Joint Sparsification-Quantization for Distributed Learning CVPR 2024
A Stealthy Wrongdoer: Feature-Oriented Reconstruction Attack against Split Learning CVPR 2024
Traceable Federated Continual Learning CVPR 2024
AssistGUI: Task-Oriented PC Graphical User Interface Automation CVPR 2024
Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning CVPR 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024
Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework IJCAI 2024