arXiv:2603.06602v2 Announce Type: replace-cross Abstract: As datasets continue to grow in size and complexity, finding succinct yet accurate data summaries poses a key challenge. Centroid-based clustering, a widely adopted approach to address this challenge, finds informative summaries of datasets in terms of few prototypes, each representing a cluster in the data. Despite their wide adoption, the resulting data summaries often contain redundancies, limiting their effectiveness particularly in datasets characterized by a large number of underlying clusters. To overcome […]

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I have been writing articles on freeCodeCamp for a while (20+ articles, 240K+ views). Recently, I completed my biggest project! I explain the math from an engineering perspective and connect how math solves real life problems and makes billion dollar industries possible. For example, in “Chapter 6: Probability & Statistics – Learning from Uncertainty” I explain how Markov chains allow the application of the Markov decision processes, which is the foundation for all RL and DRL. The chapters: […]

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Federated learning (FL) enables collaborative model training without sharing raw data; however, the presence of noisy labels across distributed clients can severely degrade the learning performance. In this paper, we propose FedSIR, a multi-stage framework for robust FL under noisy labels. Different from existing approaches that mainly rely on designing noise-tolerant loss functions or exploiting loss dynamics during training, our method leverages the spectral structure of client feature representations to identify and mitigate label noise. Our framework consists […]

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arXiv:2601.17012v1 Announce Type: new Abstract: The rapid increase in the world’s aging population to 16% by the year 2050 spurs the need for the application of digital health solutions to enhance older individuals’ independence, accessibility, and well-being. While digital health technologies such as telemedicine, wearables, and mobile health applications can transform geriatric care, their adoption among older individuals is not evenly distributed. This study redefines the “digital divide” among older health care as a usability divide, contends that […]

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arXiv:2601.19010v1 Announce Type: new Abstract: The prosthetic socket is an essential part in ensuring comfort and stability for the overall prosthesis system. This study proposes a multi-material/thickness individualized transtibial prosthetic socket that focuses on providing comfort. This study aims to identify the proper material and thickness to protect Calf areas and reduce the pressure around bone areas. First, the socket is divided into four parts depending on the pressure-sensitive/tolerant regions. After identifying the thickness range for each concerned […]

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Short-term (0-24 hours) precipitation forecasting is highly valuable to socioeconomic activities and public safety. However, the highly complex evolution patterns of precipitation events, the extreme imbalance between precipitation and non-precipitation samples, and the inability of existing models to efficiently and effectively utilize large volumes of multi-source atmospheric observation data hinder improvements in precipitation forecasting accuracy and computational efficiency. To address the above challenges, this study developed a novel forecasting model capable of effectively and efficiently utilizing massive atmospheric […]

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arXiv:2604.16883v1 Announce Type: new Abstract: In long-context decoding for LLMs and LMMs, attention becomes increasingly memory-bound because each decoding step must load a large amount of KV-cache data from GPU memory. Existing acceleration strategies often trade efficiency for accuracy by relying on heuristic pruning that may discard useful information. At a deeper level, they also tend to indiscriminately preserve all high-scoring tokens, treat early tokens as indispensable anchors, or rely on heuristic head routing, reflecting an insufficient mechanistic […]

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Why Innovators, Builders, and Workplaces Need to Operate at the “Edge of Chaos” Innovation doesn’t emerge from perfectly controlled systems. Builders and entrepreneurs thrive in environments where assumptions are challenged, information is incomplete, and outcomes are inherently unpredictable. This is the state known as the “edge of chaos.” Builders operate under uncertainty by default. Progress depends on how quickly their assumptions can be revised when reality pushes back. The brain responds in a counterintuitive way. At the “edge […]

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arXiv:2601.05065v1 Announce Type: cross Abstract: A key challenge in network science is the detection of communities, which are sets of nodes in a network that are densely connected internally but sparsely connected to the rest of the network. A fundamental result in community detection is the existence of a nontrivial threshold for community detectability on sparse graphs that are generated by the planted partition model (PPM). Below this so-called “detectability limit”, no community-detection method can perform better than […]

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