Kavli Affiliate: Xiang Zhang | First 5 Authors: Xiang Zhang, Xiang Zhang, , , | Summary: In decentralized federated learning (FL), multiple clients collaboratively learn a shared machine learning (ML) model by leveraging their privately held datasets distributed across the network, through interactive exchange of the intermediate model updates. To ensure data security, cryptographic techniques […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Fupei Guo, Fupei Guo, , , | Summary: The rapid development of artificial intelligence has driven smart health with next-generation wireless communication technologies, stimulating exciting applications in remote diagnosis and intervention. To enable a timely and effective response for remote healthcare, efficient transmission of medical data through […]
Kavli Affiliate: Joel E. Moore | First 5 Authors: Jyesta M. Adhidewata, Jyesta M. Adhidewata, , , | Summary: The excitations of fractional quantum Hall effect (FQHE) states have been largely inaccessible to experimental probes until recently. New electron scanning tunneling microscopy (STM) results from Hu et.al. (2023) show promise in detecting and identifying these […]
Kavli Affiliate: Joel Moore | Summary:The excitations of fractional quantum Hall effect (FQHE) states have been largely inaccessible to experimental probes until recently. New electron scanning tunneling microscopy (STM) results from Hu et.al. (2023) show promise in detecting and identifying these excited states via the local density of states (LDOS) spectrum. On a torus, there […]
Kavli Affiliate: Joel Moore | Summary:The excitations of fractional quantum Hall effect (FQHE) states have been largely inaccessible to experimental probes until recently. New electron scanning tunneling microscopy (STM) results from Hu et.al. (arXiv:2308.05789) show promise in detecting and identifying these excited states via the local density of states (LDOS) spectrum. On a torus, there […]
Kavli Affiliate: Xiang Zhang | First 5 Authors: Chaowei Chen, Chaowei Chen, , , | Summary: Weak-strong consistency learning strategies are widely employed in semi-supervised medical image segmentation to train models by leveraging limited labeled data and enforcing weak-to-strong consistency. However, existing methods primarily focus on designing and combining various perturbation schemes, overlooking the inherent […]
Kavli Affiliate: Feng Wang | First 5 Authors: Kimi Team, Kimi Team, , , | Summary: We introduce Kimi K2, a Mixture-of-Experts (MoE) large language model with 32 billion activated parameters and 1 trillion total parameters. We propose the MuonClip optimizer, which improves upon Muon with a novel QK-clip technique to address training instability while […]
Kavli Affiliate: Feng Wang | First 5 Authors: Yuhong Zhang, Yuhong Zhang, , , | Summary: Animation colorization plays a vital role in animation production, yet existing methods struggle to achieve color accuracy and temporal consistency. To address these challenges, we propose textbfAnimeColor, a novel reference-based animation colorization framework leveraging Diffusion Transformers (DiT). Our approach […]
Kavli Affiliate: David T. Limmer | Summary:We evaluate the exponentially rare fluctuations of the ionic current for a dilute electrolyte by means of macroscopic fluctuation theory. We consider the fluctuating hydrodynamics of a fluid electrolyte described by a stochastic Poisson-Nernst-Planck equation. We derive the Euler-Lagrange equations that dictate the optimal concentration profiles of ions conditioned […]
Kavli Affiliate: Feng Wang | First 5 Authors: Feng Wang, Feng Wang, , , | Summary: As one of the major challenges for the conservative smoothed particle hydrodynamics (SPH) method, the zero-order consistency issue, although thought to be mitigated by the particle regularization scheme, such as the transport velocity formulation, significantly damps the flow in […]