Application Areas

Federated Low-Rank Adaptation for Foundation Models: A Survey IJCAI 2025 Federated Oriented Learning: A Practical One-Shot Personalized Federated Learning Framework ICML 2025 Federated Recommendation with Explicitly Encoding Item Bias AAAI 2025 Federated Residual Low-Rank Adaptation of Large Language Models ICLR 2025 Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data WACV 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients AAAI 2025 FedEx-LoRA: Exact Aggregation for Federated and Efficient Fine-Tuning of Large Language Models ACL 2025 FedFSL-CFRD: Personalized Federated Few-Shot Learning with Collaborative Feature Representation Disentanglement AAAI 2025 FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025 FedMABench: Benchmarking Mobile GUI Agents on Decentralized Heterogeneous User Data EMNLP 2025 FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning CVPR 2025 FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models COLING 2025 FedPHA: Federated Prompt Learning for Heterogeneous Client Adaptation ICML 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FED-PsyAU: Privacy-Preserving Micro-Expression Recognition via Psychological AU Coordination and Dynamic Facial Motion Modeling ICCV 2025 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning through Symbolic Model Updates ICML 2025 FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025 FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update AAAI 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 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 Feedforward Few-shot Species Range Estimation ICML 2025 Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints CVPR 2025 Ferret-UI 2: Mastering Universal User Interface Understanding Across Platforms ICLR 2025