Distributed Learning
1,202 papers
Papers per year
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27
24
46
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72
99
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115
33
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Papers
LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation
ACL 2025
LongVILA: Scaling Long-Context Visual Language Models for Long Videos
ICLR 2025
Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering
OSDI 2025
Mean Aggregator is More Robust than Robust Aggregators under Label Poisoning Attacks on Distributed Heterogeneous Data
JMLR 2025
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping
EMNLP 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay
AAAI 2025
One-shot Federated Learning Methods: A Practical Guide
IJCAI 2025
On Scaling Up 3D Gaussian Splatting Training
ICLR 2025
OpenRLHF: A Ray-based Easy-to-use, Scalable and High-performance RLHF Framework
EMNLP 2025
Optimal and Efficient Algorithms for Decentralized Online Convex Optimization
JMLR 2025
Optimal Complexity in Byzantine-Robust Distributed Stochastic Optimization with Data Heterogeneity
JMLR 2025
Optimal Decentralized Composite Optimization for Strongly Convex Functions
JMLR 2025
OptiReduce: Resilient and Tail-Optimal AllReduce for Distributed Deep Learning in the Cloud
NSDI 2025
Order-Optimal Regret in Distributed Kernel Bandits using Uniform Sampling with Shared Randomness
AISTATS 2025
PA3Fed: Period-Aware Adaptive Aggregation for Improved Federated Learning
AAAI 2025
PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality
NSDI 2025
PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark
JMLR 2025
Picsou: Enabling Replicated State Machines to Communicate Efficiently
OSDI 2025
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters
AAAI 2025
Population Normalization for Federated Learning
CVPR 2025
Preble: Efficient Distributed Prompt Scheduling for LLM Serving
ICLR 2025
RADIOv2.5: Improved Baselines for Agglomerative Vision Foundation Models
CVPR 2025
RAMEN: Real-time Asynchronous Multi-agent Neural Implicit Mapping
RSS 2025
RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs
EMNLP 2025
SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data
WACV 2025