ST-SFLora reduces communication in split federated learning by selecting semantically important tokens via attention scores and jointly optimizing them with wireless bandwidth and power allocation.
Splitfrozen: Split learning with device-side model frozen for fine-tuning llm on heterogeneous resource-constrained devices,
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Semantic-aware Token Selection and Resource Optimization for Communication-efficient Split Federated Fine-tuning in Edge Intelligence
ST-SFLora reduces communication in split federated learning by selecting semantically important tokens via attention scores and jointly optimizing them with wireless bandwidth and power allocation.