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Lidan Shou — most-cited papers & profile · Multimodal
← authors
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overview
Lidan Shou
8
papers ·
2
citations ·
0
h-index
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Most-cited papers
CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
2025 · 1 citations
FL-GUARD: A Holistic Framework for Run-Time Detection and Recovery of Negative Federated Learning
2024 · 1 citations
MM-ShiftKV: Decode-Aware Prefill-Stage KV Selection for Multimodal Large Language Models
2026
Train Small, Infer Large: Memory-Efficient LoRA Training for Large Language Models
2025
Preventing the Popular Item Embedding Based Attack in Federated Recommendations
2025
LINDT: Tackling Negative Federated Learning with Local Adaptation
2020
Topics
Federated Learning
Data Heterogeneity
Code
Fine-Tuning
Efficiency
Training Techniques
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