conftrace_

model convergence

39 papers

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Co-occurring keywords

federated learning (1333) distributed learning (563) stochastic gradient descent (1091) data heterogeneity (115) neural network optimization (1293) image generation (2073) non-iid datum (109) large language model (13587) deep neural network (1803) model aggregation (156)

Papers

FAST: A Lightweight Mechanism Unleashing Arbitrary Client Participation in Federated Learning IJCAI 2025
Understanding Silent Data Corruption in LLM Training ACL 2025
Population Normalization for Federated Learning CVPR 2025
FedAWA: Adaptive Optimization of Aggregation Weights in Federated Learning Using Client Vectors CVPR 2025
GarFast: Realistic and Fast Garment Transfer with a Simplified Parser-Free Approach AAAI 2025
Efficient Pretraining Data Selection for Language Models via Multi-Actor Collaboration ACL 2025
DC-AE 1.5: Accelerating Diffusion Model Convergence with Structured Latent Space ICCV 2025
The Warmup Dilemma: How Learning Rate Strategies Impact Speech-to-Text Model Convergence ACL 2025
Improving Generalization and Convergence by Enhancing Implicit Regularization NIPS 2024
Great Minds Think Alike: The Universal Convergence Trend of Input Salience NIPS 2024
The GAN is dead; long live the GAN! A Modern GAN Baseline NIPS 2024
FasterDiT: Towards Faster Diffusion Transformers Training without Architecture Modification NIPS 2024
Feature Norm Regularized Federated Learning: Utilizing Data Disparities for Model Performance Gains IJCAI 2024
Adapted Weighted Aggregation in Federated Learning AAAI 2024
One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training AAAI 2024
A Primal-Dual Algorithm for Hybrid Federated Learning AAAI 2024
Exploring the Relationship between In-Context Learning and Instruction Tuning EMNLP 2024
RepAn: Enhanced Annealing through Re-parameterization CVPR 2024
Heterogeneity-Guided Client Sampling: Towards Fast and Efficient Non-IID Federated Learning NIPS 2024
Hop, skip, jump to Convergence: Dynamics of Learning Rate Transitions for Improved Training of Large Language Models EMNLP 2024
Swift Sampler: Efficient Learning of Sampler by 10 Parameters NIPS 2024
Hierarchical Federated Learning with Multi-Timescale Gradient Correction NIPS 2024
Towards Accelerated Model Training via Bayesian Data Selection NIPS 2023
Epidemic Learning: Boosting Decentralized Learning with Randomized Communication NIPS 2023
Modeling with Homophily Driven Heterogeneous Data in Gossip Learning IJCAI 2023