Machine Learning

FedCSR: A Federated Framework for Multi-Platform Cross-Domain Sequential Recommendation with Dual Contrastive Learning COLING 2025 Fed-DFA: Federated Distillation for Heterogeneous Model Fusion Through the Adversarial Lens AAAI 2025 FedDifRC: Unlocking the Potential of Text-to-Image Diffusion Models in Heterogeneous Federated Learning ICCV 2025 FedDLAD: A Federated Learning Dual-Layer Anomaly Detection Framework for Enhancing Resilience Against Backdoor Attacks IJCAI 2025 FedDQC: Data Quality Control in Federated Instruction-tuning of Large Language Models ACL 2025 FedECADO: A Dynamical System Model of Federated Learning ICML 2025 Federated Binary Matrix Factorization Using Proximal Optimization AAAI 2025 Federated Causally Invariant Feature Learning AAAI 2025 Federated Class-Heterogeneous Report Labeling with Surgical Aggregation MIDL 2025 Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025 Federated Communication-Efficient Multi-Objective Optimization AISTATS 2025 Federated-Continual Dynamic Segmentation of Histopathology Guided by Barlow Continuity WACV 2025 Federated Continual Instruction Tuning ICCV 2025 Federated Continual Learning Goes Online: Uncertainty-Aware Memory Management for Vision Tasks and Beyond ICLR 2025 Federated Continuous Category Discovery and Learning ICCV 2025 Federated Data-Efficient Instruction Tuning for Large Language Models ACL 2025 Federated Deconfounding and Debiasing Learning for Out-of-Distribution Generalization IJCAI 2025 Federated Disentangled Tuning with Textual Prior Decoupling and Visual Dynamic Adaptation ICML 2025 Federated Domain Generalization with Data-free On-server Matching Gradient ICLR 2025 Federated Domain Generalization with Decision Insight Matrix IJCAI 2025 Federated Domain Generalization with Domain-specific Soft Prompts Generation ICCV 2025 Federated Foundation Models on Heterogeneous Time Series AAAI 2025 Federated Generalised Variational Inference: A Robust Probabilistic Federated Learning Framework ICML 2025 Federated Granger Causality Learning For Interdependent Clients With State Space Representation ICLR 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025