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cs.LG2026★ 1 cited
Multimodal Injury Risk and Performance Prediction in Tennis Using Weighted Ensemble Learning
Weihao Qu, Dongyang Wang, Ling Zheng +3
Machine learning has had a positive impact on the sports industry, with one of its most promising applications being the prediction of athlete performance and injury risk. Recent a…
cs.LG2026
DisagMoE: Computation-Communication overlapped MoE Training via Disaggregated AF-Pipe Parallelism
Zhichen Zeng, Chi-Chih Chang, Jiayi Wang +10
Mixture-of-experts (MoE) architectures enable trillion-parameter LLMs with sparsely activated experts. Expert parallelism (EP) is a widely adopted MoE training strategy, but it suf…