Kavli Affiliate: Xiang Zhang | First 5 Authors: Zhou Li, Zhou Li, , , | Summary: Motivated by federated learning (FL), secure aggregation (SA) aims to securely compute, as efficiently as possible, the sum of a set of inputs distributed across many users. To understand the impact of network topology, hierarchical secure aggregation (HSA) investigated […]
Kavli Affiliate: Lihong Wang | First 5 Authors: Xiaoke Zhao, Xiaoke Zhao, , , | Summary: Recent advancements in large language models (LLMs) have demonstrated remarkable general reasoning capabilities, holding significant potential for applications in the financial domain, a field that requires robust and reliable reasoning. It has been demonstrated that distilling high-quality chain-of-thought (CoT) […]
Kavli Affiliate: Lihong Wang | First 5 Authors: Xiaoke Zhao, Xiaoke Zhao, , , | Summary: Recent advancements in large language models (LLMs) have demonstrated remarkable general reasoning capabilities, holding significant potential for applications in the financial domain, a field that requires robust and reliable reasoning. It has been demonstrated that distilling high-quality chain-of-thought (CoT) […]
Kavli Affiliate: Feng Wang | First 5 Authors: Ziqiang CHen, Ziqiang CHen, , , | Summary: This letter investigates the robust beamforming design for a near-field secure integrated sensing and communication (ISAC) system with multiple communication users (CUs) and targets, as well as multiple eavesdroppers. Taking into account the channel uncertainty constraints, we maximize the […]
Kavli Affiliate: Darrell Schlom | First 5 Authors: Arundhati Ghosal, Arundhati Ghosal, , , | Summary: Conventional racetrack memories move information by pushing magnetic domain walls or other spin textures with spin-polarized currents, but the accompanying Joule heating inflates their energy budget and can hamper scaling. Here we present a voltage-controlled, magnetoelectric racetrack in which […]
Kavli Affiliate: Wei Gao | First 5 Authors: Fei Shuang, Fei Shuang, , , | Summary: We investigate the kinetics of phase transition between the 2H and 1T$^prime$ phases in monolayer MoTe$_2$ using atomistic simulations based on a machine learning interatomic potential trained on SCAN-DFT data, combined with mean field kinetic theory to interpret the […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Siddharth Tiwary, Siddharth Tiwary, , , | Summary: Spin chains with quenched disorder exhibit rich critical behavior, often captured by real-space renormalization group (RSRG) techniques. However, the physics of such systems in the presence of random measurements (i.e., non-Hermitian dephasing) remains largely unexplored. The interplay between […]
Kavli Affiliate: Giordano Scappucci | First 5 Authors: Yi-Hsien Wu, Yi-Hsien Wu, , , | Summary: Silicon spin qubits are a promising platform for scalable quantum computing due to their compatibility with industrial semiconductor fabrication and the recent scaling to multi-qubit devices. Control fidelities above the 99% fault-tolerant threshold are routinely achieved, but extending high-fidelity […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Joohwan Seo, Joohwan Seo, , , | Summary: This paper presents a framework for learning vision-based robotic policies for contact-rich manipulation tasks that generalize spatially across task configurations. We focus on achieving robust spatial generalization of the policy for the peg-in-hole (PiH) task trained from a small […]
Kavli Affiliate: Changhuei Yang | First 5 Authors: Haowen Zhou, Haowen Zhou, , , | Summary: Automation in optical microscopy is critical for enabling high-throughput imaging across a wide range of biomedical applications. Among the essential components of automated systems, robust autofocusing plays a pivotal role in maintaining image quality for both single-plane and volumetric […]