heterogeneous data

FedCompass: Efficient Cross-Silo Federated Learning on Heterogeneous Client Devices Using a Computing Power-Aware Scheduler ICLR 2024 FedDAT: An Approach for Foundation Model Finetuning in Multi-Modal Heterogeneous Federated Learning AAAI 2024 Federated Causal Discovery from Heterogeneous Data ICLR 2024 FedFa: A Fully Asynchronous Training Paradigm for Federated Learning IJCAI 2024 FedUV: Uniformity and Variance for Heterogeneous Federated Learning CVPR 2024 Heterogeneous Medical Data Integration with Multi-Source StyleGAN MIDL 2024 Learning Unknown Intervention Targets in Structural Causal Models from Heterogeneous Data AISTATS 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Low-Resource Machine Translation through the Lens of Personalized Federated Learning EMNLP 2024 Nonconvex Federated Learning on Compact Smooth Submanifolds With Heterogeneous Data NeurIPS 2024 On the Effects of Heterogeneous Data Sources on Speech-to-Text Foundation Models Interspeech 2024 PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search AAAI 2024 Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NeurIPS 2024 Personalized PCA: Decoupling Shared and Unique Features JMLR 2024 Physical Consistency Bridges Heterogeneous Data in Molecular Multi-Task Learning NeurIPS 2024 Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses ICML 2024 SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NeurIPS 2024 SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing ACL 2024 Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains NeurIPS 2024 Watch Your Head: Assembling Projection Heads to Save the Reliability of Federated Models AAAI 2024 A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023 Boosting Causal Discovery via Adaptive Sample Reweighting ICLR 2023 Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023 Characteristic Circuits NeurIPS 2023 Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023