Distributed Learning

FedAPA: Server-side Gradient-Based Adaptive Personalized Aggregation for Federated Learning on Heterogeneous Data IJCAI 2025 FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025 FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity IJCAI 2025 FedCS: Coreset Selection for Federated Learning CVPR 2025 Federated Class-Incremental Learning: A Hybrid Approach Using Latent Exemplars and Data-Free Techniques to Address Local and Global Forgetting ICLR 2025 Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025 Federated Representation Angle Learning ICCV 2025 Federated Stochastic Bilevel Optimization with Fully First-Order Gradients IJCAI 2025 Federated Voxel Scene Graph for Intracranial Hemorrhage WACV 2025 FedHAN: A Cache-Based Semi-Asynchronous Federated Learning Framework Defending Against Poisoning Attacks in Heterogeneous Clients IJCAI 2025 Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making AAAI 2025 From Laboratory to Real World: A New Benchmark Towards Privacy-Preserved Visible-Infrared Person Re-Identification CVPR 2025 From Promise to Practice: Realizing High-performance Decentralized Training ICLR 2025 Graph Neural Networks Gone Hogwild ICLR 2025 Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025 HexGen-2: Disaggregated Generative Inference of LLMs in Heterogeneous Environment ICLR 2025 Highly Parallelized Reinforcement Learning Training with Relaxed Assignment Dependencies AAAI 2025 Holistically Evaluating the Environmental Impact of Creating Language Models ICLR 2025 Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters NSDI 2025 Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence AAAI 2025 Hypernetwork Aggregation for Decentralized Personalized Federated Learning IJCAI 2025 Identify Backdoored Model in Federated Learning via Individual Unlearning WACV 2025 IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025 Improving Federated Domain Generalization Through Dynamical Weights Calculated from Data Influences on Global Model Update AAAI 2025 Learning with Linear Function Approximations in Mean-Field Control JMLR 2025