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Learning Paradigms

2,205 papers (6 classified directly here)

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Papers (including subtopics)

FALCON: Adaptive Cross-Domain APT Attack Investigation with Federated Causal Learning UAI 2025 FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation AAAI 2025 FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025 FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning AAAI 2025 FDR-SVM: A Federated Distributionally Robust Support Vector Machine via a Mixture of Wasserstein Balls Ambiguity Set UAI 2025 Feature-Structure Adaptive Completion Graph Neural Network for Cold-start Recommendation AAAI 2025 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 FedBG: Proactively Mitigating Bias in Cross-Domain Graph Federated Learning Using Background Data IJCAI 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: Federated Learning of Deep Causal Generative Models UAI 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 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 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated Class-Heterogeneous Report Labeling with Surgical Aggregation MIDL 2025 Federated Continual Instruction Tuning ICCV 2025