Learning Paradigms

Federated Source-Free Domain Adaptation for Classification: Weighted Cluster Aggregation for Unlabeled Data WACV 2025 Federated t-SNE and UMAP for Distributed Data Visualization AAAI 2025 Federated UCBVI: Communication-Efficient Federated Regret Minimization with Heterogeneous Agents AISTATS 2025 Federated Unlearning with Gradient Descent and Conflict Mitigation AAAI 2025 Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients AAAI 2025 Federated Weakly Supervised Video Anomaly Detection with Multimodal Prompt 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 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 FedHB: Hierarchical Bayesian Federated Learning JMLR 2025 FedLWS: Federated Learning with Adaptive Layer-wise Weight Shrinking ICLR 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 FedMSGL: A Self-Expressive Hypergraph Based Federated Multi-View Learning AAAI 2025 FedMVP: Federated Multimodal Visual Prompt Tuning for Vision-Language Models ICCV 2025 FedPall: Prototype-based Adversarial and Collaborative Learning for Federated Learning with Feature Drift ICCV 2025 FedPIA – Permuting and Integrating Adapters Leveraging Wasserstein Barycenters for Finetuning Foundation Models in Multi-Modal Federated Learning AAAI 2025 FedPop: Federated Population-based Hyperparameter Tuning AAAI 2025 FedSaaS: Class-Consistency Federated Semantic Segmentation via Global Prototype Supervision and Local Adversarial Harmonization IJCAI 2025 FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning AAAI 2025 FedSPA: Generalizable Federated Graph Learning under Homophily Heterogeneity CVPR 2025 FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025 FedSPU: Personalized Federated Learning for Resource-Constrained Devices with Stochastic Parameter Update AAAI 2025