model aggregation

AsyncFL: Asynchronous Federated Learning Using Majority Voting with Quantized Model Updates (Student Abstract) AAAI 2022 Avoid Overfitting User Specific Information in Federated Keyword Spotting Interspeech 2022 Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization ICML 2022 Bridging Differential Privacy and Byzantine-Robustness via Model Aggregation IJCAI 2022 Class-Wise Adaptive Self Distillation for Federated Learning on Non-IID Data (Student Abstract) AAAI 2022 Contribution-Aware Federated Learning for Smart Healthcare AAAI 2022 Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation EMNLP 2022 Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization ICLR 2022 Factorized-FL: Personalized Federated Learning with Parameter Factorization & Similarity Matching NeurIPS 2022 FedCC: Federated Learning with Consensus Confirmation for Byzantine Attack Resistance (Student Abstract) AAAI 2022 FedDC: Federated Learning With Non-IID Data via Local Drift Decoupling and Correction CVPR 2022 Federated Learning with Positive and Unlabeled Data ICML 2022 FedProto: Federated Prototype Learning across Heterogeneous Clients AAAI 2022 Fine-Tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning CVPR 2022 Hybrid Local SGD for Federated Learning with Heterogeneous Communications ICLR 2022 Layer-Wised Model Aggregation for Personalized Federated Learning CVPR 2022 On Bridging Generic and Personalized Federated Learning for Image Classification ICLR 2022 RSCFed: Random Sampling Consensus Federated Semi-Supervised Learning CVPR 2022 SASH: Efficient secure aggregation based on SHPRG for federated learning UAI 2022 BASGD: Buffered Asynchronous SGD for Byzantine Learning ICML 2021 Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning ICML 2021 Collaborative Unsupervised Visual Representation Learning From Decentralized Data ICCV 2021 Cross-Gradient Aggregation for Decentralized Learning from Non-IID Data ICML 2021 Data-Free Knowledge Distillation for Heterogeneous Federated Learning ICML 2021 Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification AAAI 2021