Federated Learning

AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025 Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025 Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025 Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025 ConFREE: Conflict-free Client Update Aggregation for Personalized Federated Learning AAAI 2025 Controlling Participation in Federated Learning with Feedback L4DC 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025 EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025 FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated Learning with Sample-level Client Drift Mitigation AAAI 2025 FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 2025 FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025 GAS: Generative Activation-Aided Asynchronous Split Federated Learning AAAI 2025