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cs.AI2026
CF-LoRA: Decoupled Factor Aggregation and Adaptation-Aware Client Clustering for Federated LoRA Fine-Tuning
Mengjun Yi, Langxing Yang, Suhan Guo +2
Federated LoRA fine-tuning enables parameter-efficient adaptation of pre-trained models without sharing private data, but suffers from two fundamental mismatches under heterogeneou…
cs.LG2026
T-LLM: Teaching Large Language Models to Forecast Time Series via Temporal Distillation
Suhan Guo, Bingxu Wang, Shaodan Zhang +1
Time series forecasting plays a critical role in decision-making across many real-world applications. Unlike data in vision and language domains, time series data is inherently tie…
cs.AI2026
MiCA: A Mobility-Informed Causal Adapter for Lightweight Epidemic Forecasting
Suhan Guo, Jiahong Deng, Furao Shen
Accurate forecasting of infectious disease dynamics is critical for public health planning and intervention. Human mobility plays a central role in shaping the spatial spread of ep…