Adaptive compression for communication-efficient distributed training
We propose Adaptive Compressed Gradient Descent (AdaCGD)-a novel optimization
algorithm for communication-efficient training of supervised machine learning models with …
algorithm for communication-efficient training of supervised machine learning models with …
Inclusive Data Representation in Federated Learning: A Novel Approach Integrating Textual and Visual Prompt
Federated Learning (FL) is often impeded by communication overhead issues. Prompt
tuning, as a potential solution, has been introduced to only adjust a few trainable parameters …
tuning, as a potential solution, has been introduced to only adjust a few trainable parameters …