conftrace_

heterogeneous datum

119 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) representation learning (6206) data heterogeneity (115) domain adaptation (4595) large language model (13587) model aggregation (156) knowledge distillation (3725) client-server architecture (44) communication efficiency (297)

Papers

Data Distribution Valuation NIPS 2024
Personalized Adapter for Large Meteorology Model on Devices: Towards Weather Foundation Models NIPS 2024
Low-Resource Machine Translation through the Lens of Personalized Federated Learning EMNLP 2024
SLowcalSGD : Slow Query Points Improve Local-SGD for Stochastic Convex Optimization NIPS 2024
SPAGHETTI: Open-Domain Question Answering from Heterogeneous Data Sources with Retrieval and Semantic Parsing ACL 2024
FedSysID: A Federated Approach to Sample-Efficient System Identification L4DC 2023
Characteristic Circuits NIPS 2023
Convergence Analysis of Sequential Federated Learning on Heterogeneous Data NIPS 2023
Is Heterogeneity Notorious? Taming Heterogeneity to Handle Test-Time Shift in Federated Learning NIPS 2023
Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data ICML 2023
Federated Generative Model on Multi-Source Heterogeneous Data in IoT AAAI 2023
Global Update Tracking: A Decentralized Learning Algorithm for Heterogeneous Data NIPS 2023
Can 5th Generation Local Training Methods Support Client Sampling? Yes! AISTATS 2023
Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023
Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views AAAI 2023
Elastic Aggregation for Federated Optimization CVPR 2023
Private Non-Convex Federated Learning Without a Trusted Server AISTATS 2023
A General Theory for Federated Optimization with Asynchronous and Heterogeneous Clients Updates JMLR 2023
MultiZoo and MultiBench: A Standardized Toolkit for Multimodal Deep Learning JMLR 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources ICML 2023
The Blessing of Heterogeneity in Federated Q-Learning: Linear Speedup and Beyond ICML 2023
FLAIR: Federated Learning Annotated Image Repository NIPS 2022
FedAvg with Fine Tuning: Local Updates Lead to Representation Learning NIPS 2022
Meta-analysis of heterogeneous data: integrative sparse regression in high-dimensions JMLR 2022
Federated Learning on Heterogeneous and Long-Tailed Data via Classifier Re-Training with Federated Features IJCAI 2022