federated learning

A Multi-Granularity Clustering Approach for Federated Backdoor Defense with the Adam Optimizer IJCAI 2025 An Efficient and Accurate Dynamic Sparse Training Framework Based on Parameter-Freezing AAAI 2025 An Empirical Study of Federated Prompt Learning for Vision Language Model IJCAI 2025 A New Federated Learning Framework Against Gradient Inversion Attacks AAAI 2025 An Optimal Algorithm for Strongly Convex Min-Min Optimization UAI 2025 An Optimal Transport-based Latent Mixer for Robust Multi-modal Learning AAAI 2025 A Simple Data Augmentation for Feature Distribution Skewed Federated Learning CVPR 2025 Attribute Inference Attacks for Federated Regression Tasks AAAI 2025 Bad-PFL: Exploiting Backdoor Attacks against Personalized Federated Learning ICLR 2025 Beyond Federated Prototype Learning: Learnable Semantic Anchors with Hyperspherical Contrast for Domain-Skewed Data AAAI 2025 Beyond Local Sharpness: Communication-Efficient Global Sharpness-aware Minimization for Federated Learning CVPR 2025 Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games AAAI 2025 Breaking Data Silos in Parkinson’s Disease Diagnosis: An Adaptive Federated Learning Approach for Privacy-Preserving Facial Expression Analysis AAAI 2025 Byzantine-Resilient Federated Alternating Gradient Descent and Minimization for Partly-Decoupled Low Rank Matrix Learning ICML 2025 Can Federated Learning Safeguard Private Data in LLM Training? Vulnerabilities, Attacks, and Defense Evaluation EMNLP 2025 Can Textual Gradient Work in Federated Learning? ICLR 2025 Capture Global Feature Statistics for One-Shot Federated Learning AAAI 2025 Certifiably Robust Model Evaluation in Federated Learning under Meta-Distributional Shifts ICML 2025 Class-Wise Federated Averaging for Efficient Personalization ICCV 2025 Client2Vec: Improving Federated Learning by Distribution Shifts Aware Client Indexing ICCV 2025 Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off ICML 2025 Closed-Form Merging of Parameter-Efficient Modules for Federated Continual Learning ICLR 2025 Cluster Based Heterogeneous Federated Foundation Model Adaptation and Fine-Tuning AAAI 2025 Co-Dream: Collaborative Dream Synthesis over Decentralized Models AAAI 2025 Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models ACL 2025