Evaluating federated pre-training: reliability of downstream fine-tuning and intrinsic evaluation
Read the original at arxiv.org→arXiv:2607.28658v1 Announce Type: new Abstract: Federated pre-training offers a way to train foundation models on private or distributed data without centralizing the underlying datasets. However, evaluating...
Original headline: "Evaluating Federated Pre-Training: On the Reliability of Downstream Fine-Tuning and Intrinsic Evaluation"
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- Aug 3, 04:00 UTC arXiv cs.CL lead source Evaluating Federated Pre-Training: On the Reliability of Downstream Fine-Tuning and Intrinsic Evaluation