conftrace_

heterogeneous federated learning

8 papers

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Also known as

HFL

Co-occurring keywords · papers mentioning both

non-iid data (3) heterogeneous model (2) contrastive learning (2) federated learning (2) secure computing (1) global prototype (1) robustness distillation (1) language-driven learning (1) batch-prediction entropy maximization (1) entropy aggregation (1)

Papers

On the Importance of Language-driven Representation Learning for Heterogeneous Federated Learning ICLR 2025 FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for Data and Model Heterogeneity in Federated Learning AAAI 2024 Provable Benefits of Local Steps in Heterogeneous Federated Learning for Neural Networks: A Feature Learning Perspective ICML 2024 Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning ICML 2024 DFRD: Data-Free Robustness Distillation for Heterogeneous Federated Learning NeurIPS 2023 Every Parameter Matters: Ensuring the Convergence of Federated Learning with Dynamic Heterogeneous Models Reduction NeurIPS 2023 Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning AAAI 2023 GuardHFL: Privacy Guardian for Heterogeneous Federated Learning ICML 2023