conftrace_

client heterogeneity

44 papers

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Co-occurring keywords

federated learning (1333) personalized model (89) personalized federated learning (50) model aggregation (156) distributed learning (563) non-iid datum (109) communication efficiency (297) distributed optimization (275) domain adaptation (4595) personalized learning (60)

Papers

Federated Learning for Semantic Parsing: Task Formulation, Evaluation Setup, New Algorithms ACL 2023
Client-Customized Adaptation for Parameter-Efficient Federated Learning ACL 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning. NIPS 2023
Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023
DynaFed: Tackling Client Data Heterogeneity With Global Dynamics CVPR 2023
Confidence-Aware Personalized Federated Learning via Variational Expectation Maximization CVPR 2023
Federated Functional Gradient Boosting AISTATS 2022
FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022
Resource-Adaptive Federated Learning with All-In-One Neural Composition NIPS 2022
ActPerFL: Active Personalized Federated Learning ACL 2022
Personalized Online Federated Learning with Multiple Kernels NIPS 2022
Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
Asynchronous Personalized Federated Learning with Irregular Clients ACML 2022
Faster non-convex federated learning via global and local momentum UAI 2022
PFedAtt: Attention-based Personalized Federated Learning on Heterogeneous Clients ACML 2021
MARINA: Faster Non-Convex Distributed Learning with Compression ICML 2021
Linear Convergence in Federated Learning: Tackling Client Heterogeneity and Sparse Gradients NIPS 2021
Federated Reconstruction: Partially Local Federated Learning NIPS 2021