Federated Learning

PFedCS: A Personalized Federated Learning Method for Enhancing Collaboration among Similar Classifiers AAAI 2025 pFedES: Generalized Proxy Feature Extractor Sharing for Model Heterogeneous Personalized Federated Learning AAAI 2025 pFedGPA: Diffusion-based Generative Parameter Aggregation for Personalized Federated Learning AAAI 2025 pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025 pFedMxF: Personalized Federated Class-Incremental Learning with Mixture of Frequency Aggregation CVPR 2025 pFedRAG: A Personalized Federated Retrieval-Augmented Generation System with Depth-Adaptive Tiered Embedding Tuning EMNLP 2025 PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark JMLR 2025 Pilot: Building the Federated Multimodal Instruction Tuning Framework AAAI 2025 Pixel-wise Divide and Conquer for Federated Vessel Segmentation IJCAI 2025 Population Normalization for Federated Learning CVPR 2025 PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation EMNLP 2025 Predicting Event Memorability using Personalized Federated Learning WACV 2025 PRISM: Privacy-Preserving Improved Stochastic Masking for Federated Generative Models ICLR 2025 Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language Models ICLR 2025 Privacy-Preserving V2X Collaborative Perception Integrating Unknown Collaborators AAAI 2025 Problem-Parameter-Free Federated Learning ICLR 2025 Progressive Distribution Matching for Federated Semi-Supervised Learning AAAI 2025 Protecting Your Video Content: Disrupting Automated Video-based LLM Annotations CVPR 2025 Query-based Knowledge Transfer for Heterogeneous Learning Environments ICLR 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025 Rethinking Byzantine Robustness in Federated Recommendation from Sparse Aggregation Perspective AAAI 2025 Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025 SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025 Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025