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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology AAAI 2025
PAPAYA Federated Analytics Stack: Engineering Privacy, Scalability and Practicality NSDI 2025
One-shot Federated Learning Methods: A Practical Guide IJCAI 2025
Holmes: Localizing Irregularities in LLM Training with Mega-scale GPU Clusters NSDI 2025
EFSkip: A New Error Feedback with Linear Speedup for Compressed Federated Learning with Arbitrary Data Heterogeneity AAAI 2025
Seq1F1B: Efficient Sequence-Level Pipeline Parallelism for Large Language Model Training NAACL 2025
FedCCH: Automatic Personalized Graph Federated Learning for Inter-Client and Intra-Client Heterogeneity IJCAI 2025
A Primal-dual Perspective for Distributed TD-learning IJCAI 2025
MultiSFL: Towards Accurate Split Federated Learning via Multi-Model Aggregation and Knowledge Replay AAAI 2025
Federated Representation Angle Learning ICCV 2025
FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025
Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework AAAI 2025
Optimal Decentralized Composite Optimization for Strongly Convex Functions JMLR 2025
Decentralized Asynchronous Optimization with DADAO allows Decoupling and Acceleration JMLR 2025
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning AAAI 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
ZEN: Empowering Distributed Training with Sparsity-driven Data Synchronization OSDI 2025
Decentralized Sparse Linear Regression via Gradient-Tracking JMLR 2025
LegoMT2: Selective Asynchronous Sharded Data Parallel Training for Massive Neural Machine Translation ACL 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
Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos JMLR 2025