distributed learning

Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024 On the Necessity of Collaboration for Online Model Selection with Decentralized Data NeurIPS 2024 Optimal Private and Communication Constraint Distributed Goodness-of-Fit Testing for Discrete Distributions in the Large Sample Regime NeurIPS 2024 Ordered Momentum for Asynchronous SGD NeurIPS 2024 Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning NeurIPS 2024 Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions NeurIPS 2024 Queuing dynamics of asynchronous Federated Learning AISTATS 2024 Random Label Forests: An Ensemble Method with Label Subsampling For Extreme Multi-Label Problems EMNLP 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Robust Angular Synchronization via Directed Graph Neural Networks ICLR 2024 Robust Distributed Gradient Aggregation Using Projections onto Gradient Manifolds AAAI 2024 Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Data JMLR 2024 Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024 Sketching for Distributed Deep Learning: A Sharper Analysis NeurIPS 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 SpaFL: Communication-Efficient Federated Learning With Sparse Models And Low Computational Overhead NeurIPS 2024 SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NeurIPS 2024 Stabilized Proximal-Point Methods for Federated Optimization NeurIPS 2024 Stochastic Controlled Averaging for Federated Learning with Communication Compression ICLR 2024 Temporal-Difference Learning Using Distributed Error Signals NeurIPS 2024 The Bedrock of Byzantine Fault Tolerance: A Unified Platform for BFT Protocols Analysis, Implementation, and Experimentation NSDI 2024 The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024 Tolerating Outliers: Gradient-Based Penalties for Byzantine Robustness and Inclusion IJCAI 2024 Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024 TransFusion: Covariate-Shift Robust Transfer Learning for High-Dimensional Regression AISTATS 2024