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cs.DC2026
NeuroPrefetcher: Storage-Aware Sparse LLM Inference via Delta Prefetching
Nobel Dhar, Md Romyull Islam, Xuechen Zhang +4
Deploying large language models on edge devices is increasingly limited by a widening gap between model size and available memory. Existing approaches such as quantization, smaller…
cs.LG2026
FedMTFI: Feature Importance Based Optimized Multi Teacher Knowledge Distillation in Heterogeneous Federated Learning Environment
Nazmus Shakib Shadin, Aaron Cummings, Xinyue Zhang +1
Federated learning (FL) is a decentralized approach that enables collaborative model training without exposing raw data. Instead of transferring sensitive data, it allows devices t…