Miniature magneto-oscillatory wireless sensor for magnetic field and gradient measurements

Kavli Affiliate: Felix Fischer | First 5 Authors: Felix Fischer, Moonkwang Jeong, Tian Qiu, , | Summary: Magneto-oscillatory devices have been recently developed as very potent wireless miniature position trackers and sensors with an exceptional accuracy and sensing distance for surgical and robotic applications. However, it is still unclear to which extend a mechanically resonating […]


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Magneto-oscillatory localization for small-scale robots

Kavli Affiliate: Felix Fischer | First 5 Authors: Felix Fischer, Christian Gletter, Moonkwang Jeong, Tian Qiu, | Summary: Magnetism is widely used for the wireless localization and actuation of robots and devices for medical procedures. However, current static magnetic localization methods suffer from large required magnets and are limited to only five degrees of freedom […]


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Is the low-energy optical absorption in correlated insulators controlled by quantum geometry?

Kavli Affiliate: Debanjan Chowdhury | First 5 Authors: Dan Mao, Juan Felipe Mendez-Valderrama, Debanjan Chowdhury, , | Summary: Inspired by the discovery of a variety of correlated insulators in the moir’e universe, controlled by interactions projected to a set of isolated bands with a narrow bandwidth, we examine here a partial sum-rule associated with the […]


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Supervised Chain of Thought

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Dujian Ding, , , | Summary: Large Language Models (LLMs) have revolutionized natural language processing and hold immense potential for advancing Artificial Intelligence. However, the core architecture of most mainstream LLMs — the Transformer — has inherent limitations in computational depth, rendering them theoretically incapable […]


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Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji | Summary: Secure aggregation is concerned with the task of securely uploading the inputs of multiple users to an aggregation server without letting the server know the inputs beyond their summation. It finds broad applications in distributed […]


Continue.. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji | Summary: Secure aggregation is concerned with the task of securely uploading the inputs of multiple users to an aggregation server without letting the server know the inputs beyond their summation. It finds broad applications in distributed […]


Continue.. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji | Summary: Secure aggregation is concerned with the task of securely uploading the inputs of multiple users to an aggregation server without letting the server know the inputs beyond their summation. It finds broad applications in distributed […]


Continue.. Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion

Trojan Prompt Attacks on Graph Neural Networks

Kavli Affiliate: Xiang Zhang | First 5 Authors: Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang | Summary: Graph Prompt Learning (GPL) has been introduced as a promising approach that uses prompts to adapt pre-trained GNN models to specific downstream tasks without requiring fine-tuning of the entire model. Despite the advantages of GPL, […]


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SimLayerKV: A Simple Framework for Layer-Level KV Cache Reduction

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Cunxiao Du, Chao Du, Tianyu Pang, Wei Gao | Summary: Recent advancements in large language models (LLMs) have extended their capabilities to handle long contexts. However, increasing the number of model layers and the length of input sequences significantly escalates the memory required to store […]


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LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation

Kavli Affiliate: Wei Gao | First 5 Authors: Xuan Zhang, Fengzhuo Zhang, Cunxiao Du, Chao Du, Tianyu Pang | Summary: Scaling language models to handle longer contexts introduces substantial memory challenges due to the growing cost of key-value (KV) caches. Motivated by the efficiency gains of hybrid models and the broad availability of pretrained large […]


Continue.. LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation