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Found 3 papers, 1 papers with code
Adversarial Attack against Cross-lingual Knowledge Graph Alignment
Recent literatures have shown that knowledge graph (KG) learning models are highly vulnerable to adversarial attacks.
AEDFL: Efficient Asynchronous Decentralized Federated Learning with Heterogeneous Devices
First, we propose an asynchronous FL system model with an efficient model aggregation method for improving the FL convergence.
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization
This paper proposes a Parameter-efficient prompt Tuning approach with Adaptive Optimization, i. e., FedPepTAO, to enable efficient and effective FL of LLMs.
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