Federated Learning

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 FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization AAAI 2025 FedTMOS: Efficient One-Shot Federated Learning with Tsetlin Machine ICLR 2025 FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis AAAI 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 Finite-Time Analysis of Heterogeneous Federated Temporal Difference Learning IJCAI 2025 First-Order Federated Bilevel Learning AAAI 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 Forgetting Through Transforming: Enabling Federated Unlearning via Class-Aware Representation Transformation ICCV 2025