distributed learning

Private and Communication-Efficient Algorithms for Entropy Estimation NeurIPS 2022 Projection-free Distributed Online Learning with Sublinear Communication Complexity JMLR 2022 Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits NeurIPS 2022 Rate-Distortion Theoretic Bounds on Generalization Error for Distributed Learning NeurIPS 2022 Robust Combination of Distributed Gradients Under Adversarial Perturbations CVPR 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 Sharper Convergence Guarantees for Asynchronous SGD for Distributed and Federated Learning NeurIPS 2022 Solving Multi-Arm Bandit Using a Few Bits of Communication AISTATS 2022 SplitFed: When Federated Learning Meets Split Learning AAAI 2022 Syne Tune: A Library for Large Scale Hyperparameter Tuning and Reproducible Research AutoML 2022 Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology ICML 2022 TA-MoE: Topology-Aware Large Scale Mixture-of-Expert Training NeurIPS 2022 Towards Practical Adam: Non-Convexity, Convergence Theory, and Mini-Batch Acceleration JMLR 2022 Towards Verifiable Federated Learning IJCAI 2022 Variance Reduced EXTRA and DIGing and Their Optimal Acceleration for Strongly Convex Decentralized Optimization JMLR 2022 Accelerating Distributed SGD for Linear Regression using Iterative Pre-Conditioning L4DC 2021 Accumulated Decoupled Learning with Gradient Staleness Mitigation for Convolutional Neural Networks ICML 2021 Adaptive Federated Optimization ICLR 2021 ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks ICML 2021 A Flexible Framework for Communication-Efficient Machine Learning AAAI 2021 A Hybrid Variance-Reduced Method for Decentralized Stochastic Non-Convex Optimization ICML 2021 A Law of Iterated Logarithm for Multi-Agent Reinforcement Learning NeurIPS 2021 An Improved Analysis of Gradient Tracking for Decentralized Machine Learning NeurIPS 2021 A Serverless Approach to Federated Learning Infrastructure Oriented for IoT/Edge Data Sources (Student Abstract) AAAI 2021