Abstract: In some applications, edge learning is experiencing a shift in focus from conventional learning from scratch to two-stage learning combining pre-training and task-specific fine-tuning. This ...
Abstract: Split federated learning (SFL) has emerged as a promising paradigm to democratize machine learning (ML) on edge devices by enabling layer- wise model partitioning. However, existing SFL ...
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