Author

Yansha Deng

h-index 2 View on Semantic Scholar

We have 3 of 13 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Open access 2026

Efficient Federated Learning With Adaptive Model Pruning and Quantization Over Wireless Networks

Federated learning (FL) enables multiple devices to collaboratively train a global model without sharing local data. However, due to limited local computing capability and communication bandwidth, FL suffers from high learning latency, especially when the model size is large. To address these issues, we propose APQ-FL,...

Xiao-Dong Li, Yulong Gao, C. Chiasserini et al. · IEEE Transactions on Cogniti... · 0 citations

#artificial intelligence Preprint Sep 2026

FLoKD: Adaptive Knowledge Distillation for Federated Low-Rank LLM over Wireless Networks

Large language models (LLMs) have demonstrated strong capabilities across a wide range of natural language processing tasks. However, conventional fine-tuning typically relies on centralized data collection, bringing in privacy concerns. Federated learning (FL) enables collaborative LLM fine-tuning without sharing raw...

Xin-Lu Zhang, Na Yan, Yang Su et al. · 0 citations

2026

Workflow-Aware Expert Routing for Distributed LLM Serving Over the Edge-Cloud Continuum

Deploying Large Language Models (LLMs) over the edge-cloud continuum faces severe stability challenges due to the conflict between stochastic network topology and complex workflow dependencies. Existing schedulers, relying either on computationally prohibitive Graph Neural Networks (GNNs) or topology-agnostic heuristic...

Yan Gao, Shaoyuan Huang, Yonghui Ye et al. · IEEE Transactions on Cogniti... · 0 citations