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Distributed Learning

1100 directly classified papers

Papers per year

Papers

KnowledgeSG: Privacy-Preserving Synthetic Text Generation with Knowledge Distillation from Server EMNLP 2024
Human-LLM Hybrid Text Answer Aggregation for Crowd Annotations EMNLP 2024
Scalable Federated Unlearning via Isolated and Coded Sharding IJCAI 2024
CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following ACL 2024
Low Precision Local Training is Enough for Federated Learning NIPS 2024
An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models ACL 2024
DIMAT: Decentralized Iterative Merging-And-Training for Deep Learning Models CVPR 2024
The Limits and Potentials of Local SGD for Distributed Heterogeneous Learning with Intermittent Communication COLT 2024
Mixed-Precision Quantization for Federated Learning on Resource-Constrained Heterogeneous Devices CVPR 2024
FedASMU: Efficient Asynchronous Federated Learning with Dynamic Staleness-Aware Model Update AAAI 2024
On Sampling Strategies for Spectral Model Sharding NIPS 2024
Byzantine-Robust Decentralized Learning via Remove-then-Clip Aggregation AAAI 2024
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent AAAI 2024
Sketching for Distributed Deep Learning: A Sharper Analysis NIPS 2024
LSH-MoE: Communication-efficient MoE Training via Locality-Sensitive Hashing NIPS 2024
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization AISTATS 2024
Parallel Empirical Evaluations: Resilience despite Concurrency AAAI 2024
SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization NIPS 2024
An Empirical Study of Distributed Deep Learning Training on Edge (Student Abstract) AAAI 2024
On Generalization of Decentralized Learning with Separable Data AISTATS 2023
Anchor Sampling for Federated Learning with Partial Client Participation ICML 2023
Distributed Linear Bandits under Communication Constraints ICML 2023
Analysis of Error Feedback in Federated Non-Convex Optimization with Biased Compression: Fast Convergence and Partial Participation ICML 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits AISTATS 2023
CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023