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34,437 papers (4 classified directly here)

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Papers (including subtopics)

FedAA: A Reinforcement Learning Perspective on Adaptive Aggregation for Fair and Robust Federated Learning AAAI 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 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 FedCS: Coreset Selection for Federated Learning CVPR 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025 Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond ICLR 2025 Federated Data-Efficient Instruction Tuning for Large Language Models ACL 2025 Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization IJCAI 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 Federated Domain Generalization with Data-free On-server Matching Gradient ICLR 2025 Federated Domain Generalization with Decision Insight Matrix IJCAI 2025 Federated Domain Generalization with Domain-specific Soft Prompts Generation ICCV 2025 Federated Graph Condensation with Information Bottleneck Principles AAAI 2025 Federated Graph-Level Clustering Network AAAI 2025 Federated In-Context Learning: Iterative Refinement for Improved Answer Quality ICML 2025 Federated Learning at the Forefront of Fairness: A Multifaceted Perspective IJCAI 2025 Federated Learning for Feature Generalization with Convex Constraints ICML 2025 Federated Learning with Domain Shift Eraser CVPR 2025 Federated Learning with Heterogeneous LLMs: Integrating Small Student Client Models with a Large Hungry Model AAAI 2025