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cs.DC2025
Optimizing Resource Allocation for Geographically-Distributed Inference by Large Language Models
Tingyang Sun, Ting He, Bo Ji +1
Large language models have demonstrated extraordinary performance in many AI tasks but are expensive to use, even after training, due to their requirement of high-end GPUs. Recentl…
cs.DC2025
S2M3: Split-and-Share Multi-Modal Models for Distributed Multi-Task Inference on the Edge
JinYi Yoon, JiHo Lee, Ting He +2
With the advancement of Artificial Intelligence (AI) towards multiple modalities (language, vision, speech, etc.), multi-modal models have increasingly been used across various app…
cs.NI2025
Communication Optimization for Decentralized Learning atop Bandwidth-limited Edge Networks
Tingyang Sun, Tuan Nguyen, Ting He
Decentralized federated learning (DFL) is a promising machine learning paradigm for bringing artificial intelligence (AI) capabilities to the network edge. Running DFL on top of ed…