Federated Learning

Rethinking Federated Graph Learning: A Data Condensation Perspective IJCAI 2025 Rethinking the Starting Point: Collaborative Pre-Training for Federated Downstream Tasks AAAI 2025 Revisiting LocalSGD and SCAFFOLD: Improved Rates and Missing Analysis AISTATS 2025 SADBA: Self-Adaptive Distributed Backdoor Attack Against Federated Learning AAAI 2025 SADDLe: Sharpness-Aware Decentralized Deep Learning with Heterogeneous Data WACV 2025 SAP: Privacy-Preserving Fine-Tuning on Language Models with Split-and-Privatize Framework IJCAI 2025 Scalable and Trustworthy Learning in Heterogeneous Networks AAAI 2025 Scalable Federated One-Step Multi-View Clustering with Tensorized Regularization AAAI 2025 Scaling Probabilistic Circuits via Data Partitioning UAI 2025 SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025 Sharp Bounds for Sequential Federated Learning on Heterogeneous Data JMLR 2025 Sibai: A Few-Shot Meta-Classifier for Poisoning Detection in Federated Learning ICCV 2025 Soft Separation and Distillation: Toward Global Uniformity in Federated Unsupervised Learning ICCV 2025 Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025 Stealthy Backdoor Attack in Federated Learning via Adaptive Layer-wise Gradient Alignment ICCV 2025 Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness AAAI 2025 Task-Aware Prompt Gradient Projection for Parameter-Efficient Tuning Federated Class-Incremental Learning ICCV 2025 The cost of local and global fairness in Federated Learning AISTATS 2025 Towards Privacy-preserved Pre-training of Remote Sensing Foundation Models with Federated Mutual-guidance Learning ICCV 2025 Towards Privacy-Preserving Split Learning for ControlNet WACV 2025 Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients ACL 2025 TRAIL: Trust-Aware Client Scheduling for Semi-Decentralized Federated Learning AAAI 2025 TTA-FedDG: Leveraging Test-Time Adaptation to Address Federated Domain Generalization AAAI 2025 Universal Backdoor Defense via Label Consistency in Vertical Federated Learning IJCAI 2025 Virtual Nodes Can Help: Tackling Distribution Shifts in Federated Graph Learning AAAI 2025