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cs.LG2024
Baichuan Alignment Technical Report
Mingan Lin, Fan Yang, Yanjun Shen +21
We introduce Baichuan Alignment, a detailed analysis of the alignment techniques employed in the Baichuan series of models. This represents the industry's first comprehensive accou…
cs.LG2024
Loop Improvement: An Efficient Approach for Extracting Shared Features from Heterogeneous Data without Central Server
Fei Li, Chu Kiong Loo, Wei Shiung Liew +1
In federated learning, data heterogeneity significantly impacts performance. A typical solution involves segregating these parameters into shared and personalized components, a con…