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

CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025
Subspace Constraint and Contribution Estimation for Heterogeneous Federated Learning CVPR 2025
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model Aggregation WACV 2025
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing AAAI 2025
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025
FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025
Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025
Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025
Hypernetwork Aggregation for Decentralized Personalized Federated Learning IJCAI 2025
AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025
Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025
Heterogeneous Federated Learning with Scalable Server Mixture-of-Experts IJCAI 2025
Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025
A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
NYCU-NLP at SemEval-2024 Task 2: Aggregating Large Language Models in Biomedical Natural Language Inference for Clinical Trials SEMEVAL 2024
FedMut: Generalized Federated Learning via Stochastic Mutation AAAI 2024
FedTAD: Topology-aware Data-free Knowledge Distillation for Subgraph Federated Learning IJCAI 2024
Rethinking the Representation in Federated Unsupervised Learning with Non-IID Data CVPR 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms AAAI 2024
Invariant Aggregator for Defending against Federated Backdoor Attacks AISTATS 2024
Enhancing Byzantine-Resistant Aggregations with Client Embedding EMNLP 2024
Fed-QSSL: A Framework for Personalized Federated Learning under Bitwidth and Data Heterogeneity AAAI 2024