model convergence

Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023 Share Your Representation Only: Guaranteed Improvement of the Privacy-Utility Tradeoff in Federated Learning ICLR 2023 Towards Accelerated Model Training via Bayesian Data Selection NeurIPS 2023 FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022 HarmoFL: Harmonizing Local and Global Drifts in Federated Learning on Heterogeneous Medical Images AAAI 2022 Tricks for Training Sparse Translation Models NAACL 2022 Asynchronous Stochastic Gradient Descent for Extreme-Scale Recommender Systems AAAI 2021 Boost Neural Networks by Checkpoints NeurIPS 2021 Is normalization indispensable for training deep neural network? NeurIPS 2020 SnapBoost: A Heterogeneous Boosting Machine NeurIPS 2020 Improving Deep Transformer with Depth-Scaled Initialization and Merged Attention EMNLP 2019 Making Asynchronous Stochastic Gradient Descent Work for Transformers EMNLP 2019 Revisit Batch Normalization: New Understanding and Refinement via Composition Optimization AISTATS 2019 Accelerating Asynchronous Stochastic Gradient Descent for Neural Machine Translation EMNLP 2018 Can We Gain More from Orthogonality Regularizations in Training Deep Networks? NeurIPS 2018