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Papers
MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift
AAAI 2026
Enhancing Clustered Federated Learning: Integration of Strategies and Improved Methodologies
ICLR 2025
FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation
IJCAI 2025
Byzantine-robust Decentralized Federated Learning via Dual-domain Clustering and Trust Bootstrapping
CVPR 2024
Clustered Federated Learning via Gradient-based Partitioning
ICML 2024
Exploiting Label Skews in Federated Learning with Model Concatenation
AAAI 2024
Federated Linear Contextual Bandits with Heterogeneous Clients
AISTATS 2024
Efficient Distribution Similarity Identification in Clustered Federated Learning via Principal Angles between Client Data Subspaces
AAAI 2023
Optimizing the Collaboration Structure in Cross-Silo Federated Learning
ICML 2023
Structured Federated Learning through Clustered Additive Modeling
NeurIPS 2023
Diurnal or Nocturnal? Federated Learning of Multi-branch Networks from Periodically Shifting Distributions
ICLR 2022
FedSoft: Soft Clustered Federated Learning with Proximal Local Updating
AAAI 2022
Orchestra: Unsupervised Federated Learning via Globally Consistent Clustering
ICML 2022