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Distributed Learning

1100 directly classified papers

Papers per year

Papers

DSFedMed: Dual-Scale Federated Medical Image Segmentation via Mutual Distillation Between Foundation and Lightweight Models AAAI 2026
Federated Learning Playground AAAI 2026
Breaking Cross-View Associations: Byzantine Model Poisoning Attack against Vertical Federated Learning AAAI 2026
SFedHIFI: Fire Rate-Based Heterogeneous Information Fusion for Spiking Federated Learning AAAI 2026
High Dimensional Distributed Gradient Descent with Arbitrary Number of Byzantine Attackers AAAI 2026
Federated Graph Anomaly Detection Through Contrastive Learning with Global Negative Pairs AAAI 2025
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 2025
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
Skybridge: Bounded Staleness for Distributed Caches OSDI 2025
Enabling Efficient GPU Communication over Multiple NICs with FuseLink OSDI 2025
One-shot Federated Learning Methods: A Practical Guide IJCAI 2025
AdaGK-SGD: Adaptive Global Knowledge Guided Distributed Stochastic Gradient Descent AAAI 2025
Foundations of Multi-Agent Learning in Dynamic Environments: Where Reinforcement Learning Meets Strategic Decision-Making AAAI 2025
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately AAAI 2025
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence AAAI 2025
Population Normalization for Federated Learning CVPR 2025
Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor CVPR 2025
Decentralized Diffusion Models CVPR 2025
Poplar: Efficient Scaling of Distributed DNN Training on Heterogeneous GPU Clusters AAAI 2025
IDFace: Face Template Protection for Efficient and Secure Identification ICCV 2025
Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025
Beyond A Single AI Cluster: A Survey of Decentralized LLM Training EMNLP 2025
Mixture of Languages: Improved Multilingual Encoders Through Language Grouping EMNLP 2025
dFLMoE: Decentralized Federated Learning via Mixture of Experts for Medical Data Analysis CVPR 2025
WHALE-FL: Wireless and Heterogeneity Aware Latency Efficient Federated Learning over Mobile Devices via Adaptive Subnetwork Scheduling AAAI 2025