Learning Paradigms
2,205 papers (6 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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