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Sheng Di — most-cited papers & profile · Multimodal
← authors
·
overview
Sheng Di
9
papers ·
128
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Full-State Quantum Circuit Simulation by Using Data Compression
2019 · 127 citations
FedFa: A Fully Asynchronous Training Paradigm for Federated Learning
2024 · 1 citations
Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing
2026
SplitFT: An Adaptive Federated Split Learning System For LLMs Fine-Tuning
2026
An Efficient Gradient-Aware Error-Bounded Lossy Compressor for Federated Learning
2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
2025
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
2023
Topics
cs.LG
Federated Learning
cs.DC
Privacy
cs.AI
Data Heterogeneity
Fine-Tuning
In-Context Learning
Evaluation
Training Techniques