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Learning Paradigms

2,205 papers (6 classified directly here)

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Papers (including subtopics)

FedMeNF: Privacy-Preserving Federated Meta-Learning for Neural Fields ICCV 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models ICCV 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling ICCV 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 FedSPD: A Soft-clustering Approach for Personalized Decentralized Federated Learning UAI 2025 FedVLA: Federated Vision-Language-Action Learning with Dual Gating Mixture-of-Experts for Robotic Manipulation ICCV 2025 FedWSQ: Efficient Federated Learning with Weight Standardization and Distribution-Aware Non-Uniform Quantization ICCV 2025 FedXDS: Leveraging Model Attribution Methods to counteract Data Heterogeneity in Federated Learning ICCV 2025 Few-Shot Image Quality Assessment via Adaptation of Vision-Language Models ICCV 2025 Find a Scapegoat: Poisoning Membership Inference Attack and Defense to Federated Learning ICCV 2025 First-Order Federated Bilevel Learning AAAI 2025 FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition IJCAI 2025 Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025 FLSeg: Enhancing Privacy and Robustness in Federated Learning under Heterogeneous Data via Model Segmentation ICCV 2025 Frequentist Guarantees of Distributed (Non)-Bayesian Inference JMLR 2025 From Easy to Hard: The MIR Benchmark for Progressive Interleaved Multi-Image Reasoning ICCV 2025 FroM: Frobenius Norm-Based Data-Free Adaptive Model Merging EMNLP 2025 GAS: Generative Activation-Aided Asynchronous Split Federated Learning AAAI 2025 Geminio: Language-Guided Gradient Inversion Attacks in Federated Learning ICCV 2025 Generating Synthetic Data for Unsupervised Federated Learning of Cross-Modal Retrieval AAAI 2025 Generic Adversarial Attack Framework Against Vertical Federated Learning IJCAI 2025 Global Group Fairness in Federated Learning via Function Tracking AISTATS 2025 Gödel Agent: A Self-Referential Agent Framework for Recursively Self-Improvement ACL 2025