conftrace_

model aggregation

156 papers

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Co-occurring keywords

federated learning (1333) non-iid datum (109) distributed learning (563) data heterogeneity (115) privacy preservation (380) knowledge distillation (3725) personalized model (89) client heterogeneity (44) personalized federated learning (50) domain adaptation (4595)

Papers

Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023
Personalized Subgraph Federated Learning ICML 2023
Towards Attack-tolerant Federated Learning via Critical Parameter Analysis ICCV 2023
Bayesian Federated Neural Matching That Completes Full Information AAAI 2023
Investigating the Effectiveness of Multiple Expert Models Collaboration EMNLP 2023
Federated Learning With Data-Agnostic Distribution Fusion CVPR 2023
Towards Unbiased Training in Federated Open-world Semi-supervised Learning ICML 2023
Towards Instance-adaptive Inference for Federated Learning ICCV 2023
Knowledge-Aware Federated Active Learning with Non-IID Data ICCV 2023
Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023
Layer-Wise Adaptive Model Aggregation for Scalable Federated Learning AAAI 2023
On the Strategyproofness of the Geometric Median AISTATS 2023
Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy AISTATS 2023
Flexible Model Aggregation for Quantile Regression JMLR 2023
Buffered Asynchronous SGD for Byzantine Learning JMLR 2023
Federated Learning for Commercial Image Sources WACV 2023
Personalized Federated Learning with Inferred Collaboration Graphs ICML 2023
Fedstellar: A Platform for Training Models in a Privacy-preserving and Decentralized Fashion IJCAI 2023
FedDWA: Personalized Federated Learning with Dynamic Weight Adjustment IJCAI 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023
FedBFPT: An Efficient Federated Learning Framework for Bert Further Pre-training IJCAI 2023
FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning ICCV 2023
Tackling Data Heterogeneity in Federated Learning with Class Prototypes AAAI 2023
FedMDFG: Federated Learning with Multi-Gradient Descent and Fair Guidance AAAI 2023
Clustered Federated Learning for Heterogeneous Data (Student Abstract) AAAI 2023