2 papers
cs.LG2025
FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling
Hong Huang, Hai Yang, Yuan Chen +2
Federated Learning (FL) enables collaborative model training across distributed clients without data sharing, but its high computational and communication demands strain resource-c…
cs.LG2025
Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis
Hong Huang, Dapeng Wu
Large language models (LLMs) have made exciting achievements across various domains, yet their deployment on resource-constrained personal devices remains hindered by the prohibiti…