Co-occurring keywords · papers mentioning both
Papers
Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training
NSDI 2026
BitDP: Ultra-low-bit Communication for Data Parallelism in LLM Training
AAAI 2026
Communication-Efficient Distributed Training for Collaborative Flat Optima Recovery in Deep Learning
UAI 2026
DeToNATION: Decoupled Torch Network-Aware Training on Interlinked Online Nodes
AAAI 2026
Di-PS: System-Algorithm Co-Design for Asynchronous and Heterogeneous Cross-cluster LLM Training at Scale
NSDI 2026
DynaRL: Flexible and Dynamic Scheduling of Large-Scale Reinforcement Learning Training
OSDI 2026
FLARE: Anomaly Diagnostics for Divergent LLM Training in GPU Clusters of Thousand-Plus Scale
NSDI 2026
FusedRec: Fused Embedding Communication for Distributed Recommendation Training on GPUs
AAAI 2026
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations
OSDI 2026
OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo
AAAI 2026
OptiCo: Adaptive Distributed Training Optimization via Collaborative Agent Reasoning
ACL 2026
RLBoost: Harvesting Preemptible Cloud Resources for Cost-Efficient Reinforcement Learning on LLMs
NSDI 2026
Sparse Checkpointing for Fast and Reliable MoE Training
NSDI 2026
Supercharging Packet-level Network Simulation of Large Model Training via Memoization and Fast-Forwarding
NSDI 2026
SYMI: Efficient Mixture-of-Experts Training via Model and Optimizer State Decoupling
NSDI 2026
TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
AAAI 2026
Tessera: A Holistic Pipeline Parallelism Framework for Trillion-Parameter Heterogeneous MoE Training (Operational Systems)
OSDI 2026
TrainMover: An Interruption-Resilient Runtime for ML Training
OSDI 2026
ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
EMNLP 2025
A Proactive Reliability Metric for Detecting Failures in Language Model Training
EMNLP 2025
AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training
NSDI 2025
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training
EMNLP 2025
Breaking the Memory Barrier of Contrastive Loss via Tile-Based Strategy
CVPR 2025
ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development
NSDI 2025
Decentralized Diffusion Models
CVPR 2025