Distributed Learning

Federated Learning from Small Datasets ICLR 2023 Federated learning of models pre-trained on different features with consensus graphs UAI 2023 Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 Fed-GraB: Federated Long-tailed Learning with Self-Adjusting Gradient Balancer NeurIPS 2023 FedGS: Federated Graph-Based Sampling with Arbitrary Client Availability AAAI 2023 FedLab: A Flexible Federated Learning Framework JMLR 2023 Fed-LAMB: Layer-wise and Dimension-wise Locally Adaptive Federated Learning UAI 2023 FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP ACL 2023 FedNP: Towards Non-IID Federated Learning via Federated Neural Propagation AAAI 2023 Fixing by Mixing: A Recipe for Optimal Byzantine ML under Heterogeneity AISTATS 2023 Fleet Active Learning: A Submodular Maximization Approach CoRL 2023 Flor: An Open High Performance RDMA Framework Over Heterogeneous RNICs OSDI 2023 Generating QM1B with PySCF_IPU NeurIPS 2023 GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization ICCV 2023 Gigastep - One Billion Steps per Second Multi-agent Reinforcement Learning NeurIPS 2023 Global Convergence Analysis of Local SGD for Two-layer Neural Network without Overparameterization NeurIPS 2023 Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NeurIPS 2023 GradMA: A Gradient-Memory-Based Accelerated Federated Learning With Alleviated Catastrophic Forgetting CVPR 2023 Graph Ladling: Shockingly Simple Parallel GNN Training without Intermediate Communication ICML 2023 H3T: Efficient Integration of Memory Optimization and Parallelism for Large-scale Transformer Training NeurIPS 2023 Handling Data Heterogeneity via Architectural Design for Federated Visual Recognition NeurIPS 2023 Hybrid Knowledge Transfer for Improved Cross-Lingual Event Detection via Hierarchical Sample Selection ACL 2023 Incremental Aggregated Riemannian Gradient Method for Distributed PCA AISTATS 2023 Large-Scale Distributed Learning via Private On-Device LSH NeurIPS 2023