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, […]


Continue.. Trojan Prompt Attacks on Graph Neural Networks

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 […]


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

On “Inconsistencies of metalens performance and comparison with conventional diffractive optics”

Kavli Affiliate: Andrei Faraon | First 5 Authors: Amir Arbabi, Andrei Faraon, , , | Summary: It was recently claimed1 that reported focusing efficiency values of high numerical aperture metalenses are inconsistent with a theoretical bound, and their measurement results are incorrectly interpreted. We review the article and conclude that these claims are not well […]


Continue.. On “Inconsistencies of metalens performance and comparison with conventional diffractive optics”

Bandwidth-tunable Telecom Single Photons Enabled by Low-noise Optomechanical Transduction

Kavli Affiliate: Simon Groblacher | First 5 Authors: Liu Chen, Alexander Rolf Korsch, CauĂȘ Moreno Kersul, Rodrigo Benevides, Yong Yu | Summary: Single-photon sources are of fundamental importance to emergent quantum technologies. Nano-structured optomechanical crystals provide an attractive platform for single photon generation due to their unique engineering freedom and compatibility with on-chip silicon fabrication. […]


Continue.. Bandwidth-tunable Telecom Single Photons Enabled by Low-noise Optomechanical Transduction

Expansion properties of the young supernova type Iax remnant Pa 30 revealed

Kavli Affiliate: David Charbonneau | First 5 Authors: Tim Cunningham, Ilaria Caiazzo, Nikolaus Z. Prusinski, James Fuller, John C. Raymond | Summary: The recently discovered Pa 30 nebula, the putative type Iax supernova remnant associated with the historical supernova of 1181 AD, shows puzzling characteristics that make it unique among known supernova remnants. In particular, […]


Continue.. Expansion properties of the young supernova type Iax remnant Pa 30 revealed

NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models

Kavli Affiliate: Dan Luo | First 5 Authors: Yanbiao Ji, Chang Liu, Xin Chen, Yue Ding, Dan Luo | Summary: Graphs are a fundamental data structure for representing relationships in real-world scenarios. With the success of Large Language Models (LLMs) across various natural language processing (NLP) tasks, there has been growing interest in integrating LLMs […]


Continue.. NT-LLM: A Novel Node Tokenizer for Integrating Graph Structure into Large Language Models

Application of zero-noise extrapolation-based quantum error mitigation to a silicon spin qubit

Kavli Affiliate: Giordano Scappucci | First 5 Authors: Hanseo Sohn, Jaewon Jung, Jaemin Park, Hyeongyu Jang, Lucas E. A. Stehouwer | Summary: As quantum computing advances towards practical applications, reducing errors remains a crucial frontier for developing near-term devices. Errors in the quantum gates and quantum state readout could result in noisy circuits, which would […]


Continue.. Application of zero-noise extrapolation-based quantum error mitigation to a silicon spin qubit

Lattice-Matched Multiple Channel AlScN/GaN Heterostructures

Kavli Affiliate: David A. Muller | First 5 Authors: Thai-Son Nguyen, Naomi Pieczulewsi, Chandrashekhar Savant, Joshua J. P. Cooper, Joseph Casamento | Summary: AlScN is a new wide bandgap, high-k, ferroelectric material for RF, memory, and power applications. Successful integration of high quality AlScN with GaN in epitaxial layer stacks depends strongly on the ability […]


Continue.. Lattice-Matched Multiple Channel AlScN/GaN Heterostructures