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Found 5 papers, 2 papers with code
Trillion Parameter AI Serving Infrastructure for Scientific Discovery: A Survey and Vision
Deep learning methods are transforming research, enabling new techniques, and ultimately leading to new discoveries.
Attention Lens: A Tool for Mechanistically Interpreting the Attention Head Information Retrieval Mechanism
Transformer-based Large Language Models (LLMs) are the state-of-the-art for natural language tasks.
Memory Injections: Correcting Multi-Hop Reasoning Failures during Inference in Transformer-Based Language Models
Answering multi-hop reasoning questions requires retrieving and synthesizing information from diverse sources.
Adversarial Predictions of Data Distributions Across Federated Internet-of-Things Devices
Despite this, recent works have demonstrated that data reconstruction can be done with the locally trained model updates which are communicated across the network.
Hierarchical and Decentralised Federated Learning
Hierarchical Federated Learning is likely to be a key enabler for a wide range of applications, such as smart farming and smart energy management, as it can improve performance and reduce costs, whilst also enabling FL workflows to be deployed in environments that are not well-suited to traditional FL.
