% Key papers for Communication complexity theory (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages.

@inproceedings{neurips2018_gradient_57184,
  title = {{Gradient Sparsification for Communication-Efficient Distributed Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2018},
  url = {https://nips.cc/virtual/2018/poster/11147},
}

@inproceedings{icml2019_decentralized_37270,
  title = {{Decentralized Stochastic Optimization and Gossip Algorithms with Compressed Communication}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2019},
  url = {https://icml.cc/virtual/2019/poster/4005},
}

@inproceedings{neurips2019_powersgd_58818,
  title = {{PowerSGD: Practical Low-Rank Gradient Compression for Distributed Optimization}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2019},
  url = {https://nips.cc/virtual/2019/poster/14346},
}

@inproceedings{icml2020_acceleration_37898,
  title = {{Acceleration for Compressed Gradient Descent in Distributed and Federated Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6191},
}

@inproceedings{iclr2021_linear_30041,
  title = {{Linear Convergent Decentralized Optimization with Compression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2021},
  url = {https://iclr.cc/virtual/2021/poster/2693},
}

@inproceedings{icml2021_distributed_39260,
  title = {{Distributed Second Order Methods with Fast Rates and Compressed Communication}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/10191},
}

@inproceedings{icml2020_communication_38024,
  title = {{Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/5990},
}

@inproceedings{icml2021_marina_39582,
  title = {{MARINA: Faster Non-Convex Distributed Learning with Compression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/9657},
}

@inproceedings{aaai2021_communication_271,
  title = {{Communication-Efficient Frank-Wolfe Algorithm for Nonconvex Decentralized Distributed Learning}},
  booktitle = {AAAI Conference on Artificial Intelligence (AAAI)},
  year = {2021},
  url = {https://aaai.org/papers/10405-communication-efficient-frank-wolfe-algorithm-for-nonconvex-decentralized-distributed-learning/},
}

@inproceedings{icml2022_3pc_40138,
  title = {{3PC: Three Point Compressors for Communication-Efficient Distributed Training and a Better Theory for Lazy Aggregation}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/18065},
}

@inproceedings{neurips2021_canita_62772,
  title = {{CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28335},
}

@inproceedings{neurips2017_communication_56202,
  title = {{Communication-Efficient Stochastic Gradient Descent, with Applications to Neural Networks}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2017},
  url = {https://nips.cc/virtual/2017/spotlight/9992},
}

@inproceedings{iclr2022_permutation_31083,
  title = {{Permutation Compressors for Provably Faster Distributed Nonconvex Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/7208},
}

@inproceedings{icml2021_communication_39145,
  title = {{Communication-Efficient Distributed Optimization with Quantized Preconditioners}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2021},
  url = {https://icml.cc/virtual/2021/poster/8611},
}

@inproceedings{neurips2021_distributed_62786,
  title = {{Distributed Principal Component Analysis with Limited Communication}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28313},
}

@inproceedings{iclr2022_on_31004,
  title = {{On Distributed Adaptive Optimization with Gradient Compression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2022},
  url = {https://iclr.cc/virtual/2022/poster/6171},
}

@inproceedings{icml2020_manifold_38438,
  title = {{Manifold Identification for Ultimately Communication-Efficient Distributed Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2020},
  url = {https://icml.cc/virtual/2020/poster/6360},
}

@inproceedings{icml2022_correlated_40387,
  title = {{Correlated Quantization for Distributed Mean Estimation and Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2022},
  url = {https://icml.cc/virtual/2022/poster/17025},
}

@inproceedings{neurips2021_towards_61452,
  title = {{Towards Tight Communication Lower Bounds for Distributed Optimisation}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2021},
  url = {https://nips.cc/virtual/2021/poster/28811},
}

@inproceedings{iclr2024_det_34667,
  title = {{Det-CGD: Compressed Gradient Descent with Matrix Stepsizes for Non-Convex Optimization}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2024},
  url = {https://iclr.cc/virtual/2024/poster/18407},
}

@inproceedings{icml2024_distributed_43483,
  title = {{Distributed Bilevel Optimization with Communication Compression}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/34969},
}

@inproceedings{icml2024_laser_45532,
  title = {{LASER: Linear Compression in Wireless Distributed Optimization}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2024},
  url = {https://icml.cc/virtual/2024/poster/32920},
}

@inproceedings{icml2025_distributed_47487,
  title = {{Distributed Retraction-Free and Communication-Efficient Optimization on the Stiefel Manifold}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/45108},
}

@inproceedings{icml2025_decoupled_47753,
  title = {{Decoupled SGDA for Games with Intermittent Strategy Communication}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2025},
  url = {https://icml.cc/virtual/2025/poster/44847},
}

@inproceedings{icml2026_convergence_49490,
  title = {{Convergence Analysis of the Lion Optimizer in Centralized and Distributed Settings}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=32NvV5zixD},
}

@inproceedings{icml2026_on_51773,
  title = {{On the Interaction of Batch Noise, Adaptivity, and Compression, under \$(L\_0,L\_1)\$-Smoothness: An SDE Approach}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=Pmsc4yytlf},
}

@inproceedings{iclr2025_towards_81254,
  title = {{Towards Faster Decentralized Stochastic Optimization with Communication Compression}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2025},
  url = {https://iclr.cc/virtual/2025/poster/30517},
}

@inproceedings{iclr2026_mt_84740,
  title = {{MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates}},
  booktitle = {International Conference on Learning Representations (ICLR)},
  year = {2026},
  url = {https://openreview.net/forum?id=5yPP238v4c},
}

@inproceedings{neurips2026_scalable_93146,
  title = {{Scalable Distributed Stochastic Optimization via Bidirectional Compression: Beyond Pessimistic Limits}},
  booktitle = {Advances in Neural Information Processing Systems (NeurIPS)},
  year = {2026},
  url = {https://neurips.cc/virtual/2026/poster/150535},
}

@inproceedings{icml2026_on_54642,
  title = {{On the Convergence of Decentralized Stochastic Minimax Optimization Algorithm with Compressed Communication}},
  booktitle = {International Conference on Machine Learning (ICML)},
  year = {2026},
  url = {https://openreview.net/forum?id=r2xFcc0kvp},
}