federated learning

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 2025 FedAGC: Federated Continual Learning with Asymmetric Gradient Correction ICCV 2025 FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 FedBaF: Federated Learning Aggregation Biased by a Foundation Model AISTATS 2025 FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 2025 FedBiP: Heterogeneous One-Shot Federated Learning with Personalized Latent Diffusion Models CVPR 2025 FedCALM: Conflict-aware Layer-wise Mitigation for Selective Aggregation in Deeper Personalized Federated Learning CVPR 2025 FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025 FedCM: Client Clustering and Migration in Federated Learning via Gradient Path Similarity and Update Direction Deviation IJCAI 2025 FeDCM: Federated Learning of Deep Causal Generative Models UAI 2025 FedCoT: Federated Chain-of-Thought Distillation for Large Language Models EMNLP 2025 FedCPD:Personalized Federated Learning with Prototype-Enhanced Representation and Memory Distillation IJCAI 2025 FedCross: Intertemporal Federated Learning Under Evolutionary Games AAAI 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025 FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025 FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models ACL 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Causal Inference: Multi-Study ATE Estimation beyond Meta-Analysis AISTATS 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated Class-Heterogeneous Report Labeling with Surgical Aggregation MIDL 2025