Ferret: An Efficient Online Continual Learning Framework under Varying Memory Constraints.
CoRR, March, 2025
Make Optimization Once and for All with Fine-grained Guidance.
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CoRR, March, 2025
GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning.
CoRR, February, 2025
E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing.
CoRR, February, 2025
Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-training.
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CoRR, 2024
Tackling Feature-Classifier Mismatch in Federated Learning via Prompt-Driven Feature Transformation.
CoRR, 2024
A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training.
CoRR, 2024
DLB: A Dynamic Load Balance Strategy for Distributed Training of Deep Neural Networks.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
CoRR, 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.
CoRR, 2023
PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Unconstrained Feature Model and Its General Geometric Patterns in Federated Learning: Local Subspace Minority Collapse.
Proceedings of the Neural Information Processing - 30th International Conference, 2023
Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Correction to: FLSGD: free local SGD with parallel synchronization.
J. Supercomput., 2022
FLSGD: free local SGD with parallel synchronization.
J. Supercomput., 2022
Personalized Federated Learning with Hidden Information on Personalized Prior.
CoRR, 2022
DBS: Dynamic Batch Size For Distributed Deep Neural Network Training.
CoRR, 2020