Federated Learning

Cross-Silo Feature Space Alignment for Federated Learning on Clients with Imbalanced Data AAAI 2025 CSAHFL:Clustered Semi-Asynchronous Hierarchical Federated Learning for Dual-layer Non-IID in Heterogeneous Edge Computing Networks IJCAI 2025 DaringFed: A Dynamic Bayesian Persuasion Pricing for Online Federated Learning Under Two-sided Incomplete Information IJCAI 2025 Data Center Cooling System Optimization Using Offline Reinforcement Learning ICLR 2025 Data-Centric AI for Chest X-Ray Analysis in Resource-Constrained Settings IJCAI 2025 Data-Free Black-Box Federated Learning via Zeroth-Order Gradient Estimation AAAI 2025 DCHM: Dynamic Collaboration of Heterogeneous Models Through Isomerism Learning in a Blockchain-Powered Federated Learning Framework AAAI 2025 Debiasing Federated Learning with Correlated Client Participation ICLR 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 Decentralized Low-Rank Fine-Tuning of Large Language Models ACL 2025 Decentralized Sporadic Federated Learning: A Unified Algorithmic Framework with Convergence Guarantees ICLR 2025 Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning AAAI 2025 DEPT: Decoupled Embeddings for Pre-training Language Models ICLR 2025 Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection CVPR 2025 dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025 DICE: Data Influence Cascade in Decentralized Learning ICLR 2025 Diffusion-Based Active Learning for Distributed Client Manifolds AAAI 2025 DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data JMLR 2025 Distilling A Universal Expert from Clustered Federated Learning IJCAI 2025 Distributed Stochastic Bilevel Optimization: Improved Complexity and Heterogeneity Analysis JMLR 2025 DPED: Multi-Layer Noise Distillation for Privacy-Preserving Text Embeddings EMNLP 2025 DPFL: Decentralized Personalized Federated Learning AISTATS 2025 Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation AAAI 2025 DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game AAAI 2025 EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning AAAI 2025