Distributed Learning

Exponential Quantum Communication Advantage in Distributed Inference and Learning NeurIPS 2024 FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024 FedCBO: Reaching Group Consensus in Clustered Federated Learning through Consensus-based Optimization JMLR 2024 FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation ICLR 2024 Federated Black-Box Adaptation for Semantic Segmentation NeurIPS 2024 Federated Generalized Category Discovery CVPR 2024 Federated Learning over Connected Modes NeurIPS 2024 Federated Learning under Periodic Client Participation and Heterogeneous Data: A New Communication-Efficient Algorithm and Analysis NeurIPS 2024 Federated Recommendation with Additive Personalization ICLR 2024 FedGMark: Certifiably Robust Watermarking for Federated Graph Learning NeurIPS 2024 FedImpro: Measuring and Improving Client Update in Federated Learning ICLR 2024 FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction NeurIPS 2024 Findings of the WMT 2024 Shared Task of the Open Language Data Initiative EMNLP 2024 Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization ICLR 2024 Freya PAGE: First Optimal Time Complexity for Large-Scale Nonconvex Finite-Sum Optimization with Heterogeneous Asynchronous Computations NeurIPS 2024 GRAWA: Gradient-based Weighted Averaging for Distributed Training of Deep Learning Models AISTATS 2024 Heterogeneity-aware Clustered Distributed Learning for Multi-source Data Analysis JMLR 2024 Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NeurIPS 2024 High-throughput and Flexible Host Networking for Accelerated Computing OSDI 2024 Horus: Granular In-Network Task Scheduler for Cloud Datacenters NSDI 2024 HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices NAACL 2024 Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024 HyperPrism: An Adaptive Non-linear Aggregation Framework for Distributed Machine Learning over Non-IID Data and Time-varying Communication Links NeurIPS 2024 Implicit Regularization of Decentralized Gradient Descent for Sparse Regression NeurIPS 2024 Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity NeurIPS 2024