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Distributed Learning

1100 directly classified papers

Papers per year

Papers

Low Precision Local Training is Enough for Federated Learning NIPS 2024
A multi-modal distributed learning algorithm in reproducing kernel Hilbert spaces L4DC 2024
Dual-Personalizing Adapter for Federated Foundation Models NIPS 2024
JORA: JAX Tensor-Parallel LoRA Library for Retrieval Augmented Fine-Tuning ACL 2024
MAST: Global Scheduling of ML Training across Geo-Distributed Datacenters at Hyperscale OSDI 2024
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024
A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024
High-throughput and Flexible Host Networking for Accelerated Computing OSDI 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024
LocMoE: A Low-overhead MoE for Large Language Model Training IJCAI 2024
LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs IJCAI 2024
Secure Distributed Sparse Gaussian Process Models Using Multi-Key Homomorphic Encryption AAAI 2024
PrivSGP-VR: Differentially Private Variance-Reduced Stochastic Gradient Push with Tight Utility Bounds IJCAI 2024
Near-Optimal Resilient Aggregation Rules for Distributed Learning Using 1-Center and 1-Mean Clustering with Outliers AAAI 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024
KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024
Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization AAAI 2024
Parallel Empirical Evaluations: Resilience despite Concurrency AAAI 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
LG-FGAD: An Effective Federated Graph Anomaly Detection Framework IJCAI 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024