% Key papers for Compressed distributed optimization (scime atlas, https://atlas.scime.ai). Authors are not included: add them from the paper pages. @inproceedings{neurips2017_collaborative_56197, title = {{Collaborative Deep Learning in Fixed Topology Networks}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2017}, url = {https://nips.cc/virtual/2017/poster/9363}, } @inproceedings{icml2018_improving_36754, title = {{Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2018}, url = {https://icml.cc/virtual/2018/poster/2075}, } @inproceedings{icml2021_quasi_39844, title = {{Quasi-global Momentum: Accelerating Decentralized Deep Learning on Heterogeneous Data}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2021}, url = {https://icml.cc/virtual/2021/poster/10319}, } @inproceedings{aaai2021_differentially_432, title = {{Differentially Private and Communication Efficient Collaborative Learning}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2021}, url = {https://aaai.org/papers/07219-differentially-private-and-communication-efficient-collaborative-learning/}, } @inproceedings{iclr2021_a_30726, title = {{A Better Alternative to Error Feedback for Communication-Efficient Distributed Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2021}, url = {https://iclr.cc/virtual/2021/poster/3119}, } @inproceedings{aaai2024_deprl_5604, title = {{DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29543}, } @inproceedings{neurips2016_bootstrap_55608, title = {{Bootstrap Model Aggregation for Distributed Statistical Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2016}, url = {https://nips.cc/virtual/2016/poster/6939}, } @inproceedings{icml2020_communication_38023, title = {{Communication-Efficient Distributed PCA by Riemannian Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2020}, url = {https://icml.cc/virtual/2020/poster/6359}, } @inproceedings{neurips2022_beer_64517, title = {{BEER: Fast \$O(1/T)\$ Rate for Decentralized Nonconvex Optimization with Communication Compression}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53161}, } @inproceedings{neurips2021_preserved_63228, title = {{Preserved central model for faster bidirectional compression in distributed settings}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2021}, url = {https://nips.cc/virtual/2021/poster/27076}, } @inproceedings{neurips2022_rate_64198, title = {{Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/53288}, } @inproceedings{neurips2023_incentivizing_68998, title = {{Incentivizing Honesty among Competitors in Collaborative Learning and Optimization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2023}, url = {https://nips.cc/virtual/2023/poster/70872}, } @inproceedings{aaai2023_distributed_3483, title = {{Distributed Spectrum-Based Fault Localization}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2023}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/25798}, } @inproceedings{neurips2022_distributed_64556, title = {{Distributed Methods with Compressed Communication for Solving Variational Inequalities, with Theoretical Guarantees}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2022}, url = {https://nips.cc/virtual/2022/poster/54886}, } @inproceedings{cvpr2022_robust_19748, title = {{Robust Combination of Distributed Gradients Under Adversarial Perturbations}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2022}, } @inproceedings{iclr2023_episode_33416, title = {{EPISODE: Episodic Gradient Clipping with Periodic Resampled Corrections for Federated Learning with Heterogeneous Data}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2023}, url = {https://iclr.cc/virtual/2023/poster/11143}, } @inproceedings{neurips2024_cobo_72261, title = {{CoBo: Collaborative Learning via Bilevel Optimization}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95083}, } @inproceedings{aaai2024_robust_7170, title = {{Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds}}, booktitle = {AAAI Conference on Artificial Intelligence (AAAI)}, year = {2024}, url = {https://ojs.aaai.org/index.php/AAAI/article/view/29214}, } @inproceedings{icml2024_embarrassingly_44105, title = {{Embarrassingly Parallel GFlowNets}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34347}, } @inproceedings{icml2026_distributed_54087, title = {{Distributed Direct Preference Optimization}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2026}, url = {https://openreview.net/forum?id=ljNZyrAlaa}, } @inproceedings{neurips2024_byzantine_71323, title = {{Byzantine Robustness and Partial Participation Can Be Achieved at Once: Just Clip Gradient Differences}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2024}, url = {https://neurips.cc/virtual/2024/poster/95924}, } @inproceedings{neurips2026_loscar_94996, title = {{LOSCAR-SGD: Local SGD with Communication-Computation Overlap and Delay-Corrected Sparse Model Averaging}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/149908}, } @inproceedings{icml2024_locally_44417, title = {{Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy}}, booktitle = {International Conference on Machine Learning (ICML)}, year = {2024}, url = {https://icml.cc/virtual/2024/poster/34035}, } @inproceedings{iclr2026_on_89525, title = {{On The Surprising Effectiveness of a Single Global Merging in Decentralized Learning}}, booktitle = {International Conference on Learning Representations (ICLR)}, year = {2026}, url = {https://openreview.net/forum?id=zrFnwRHuQo}, } @inproceedings{neurips2026_federated_91127, title = {{Federated Distributionally Robust Neural Combinatorial Optimization with Convergence Guarantees}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/155993}, } @inproceedings{neurips2026_dpa_92603, title = {{DPA: Decentralized Primal Averaging with Quasi-Global Momentum for Highly Heterogeneous Data}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/155094}, } @inproceedings{neurips2026_talk_93049, title = {{Talk Less, Work More: Communication-Efficient Decentralized Stochastic Approximation}}, booktitle = {Advances in Neural Information Processing Systems (NeurIPS)}, year = {2026}, url = {https://neurips.cc/virtual/2026/poster/155976}, } @inproceedings{cvpr2026_beyond_95634, title = {{Beyond Euclidean Gossip: KL-Barycentric Consensus on Heterogeneous and Imbalanced Images}}, booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2026}, url = {https://openaccess.thecvf.com/content/CVPR2026/html/Xu_Beyond_Euclidean_Gossip_KL-Barycentric_Consensus_on_Heterogeneous_and_Imbalanced_Images_CVPR_2026_paper.html}, }