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Distributed Learning

1100 directly classified papers

Papers per year

Papers

pFedClub: Controllable Heterogeneous Model Aggregation for Personalized Federated Learning NIPS 2024
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training NIPS 2024
Communication Efficient Distributed Training with Distributed Lion NIPS 2024
Pipeline Parallelism with Controllable Memory NIPS 2024
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping CVPR 2024
Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024
JaxMARL: Multi-Agent RL Environments and Algorithms in JAX NIPS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data NIPS 2024
Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD NIPS 2024
Leveraging partial stragglers within gradient coding NIPS 2024
Accelerating Distributed Stochastic Optimization via Self-Repellent Random Walks ICLR 2024
Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences NIPS 2024
Dual-Personalizing Adapter for Federated Foundation Models NIPS 2024
Jointly Improving the Sample and Communication Complexities in Decentralized Stochastic Minimax Optimization AAAI 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024
Weight for Robustness: A Comprehensive Approach towards Optimal Fault-Tolerant Asynchronous ML NIPS 2024
Accelerated Gradient Tracking over Time-varying Graphs for Decentralized Optimization JMLR 2024
Near-Optimal Distributed Minimax Optimization under the Second-Order Similarity NIPS 2024
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes NIPS 2024
Ordered Momentum for Asynchronous SGD NIPS 2024
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024