Research & Innovation

Global: SCALA: Split Federated Learning with Concatenated Activations and Logit AdjustmentsResearchers Jiarong Yang and Yuan Liu released a paper on December 25, 2025 (originally submitted May 8, 2024) that introduces…

Global: UniMark Toolkit Offers Unified AI-Generated Content Detection and WatermarkingResearchers led by Meilin Li, along with Ji He, Yi Yu, Jia Xu, Shanzhe Lei, Yan Teng, Yingchun Wang, and Xuhong…

Global: Perplexity-Aware Scaling Law Boosts Data Efficiency in Continual Pre‑TrainingKey DevelopmentResearchers have introduced a perplexity‑aware data scaling law designed to enhance the efficiency of continual pre‑training (CPT) for large language…

Global: Lightweight Mutual Authentication for Internet of Drones Using Radio Frequency Fingerprints and PUFsResearchers have introduced a new lightweight mutual authentication and key exchange protocol for the Internet of Drones…

Global: New Study Analyzes OTP Approach for Contextual Simulation OptimizationA team of researchers has introduced an “optimize‑then‑predict” (OTP) framework designed to support real‑time decision making in contextual strongly convex simulation…

Global: FPGA Accelerator Boosts TFHE Bootstrapping Performance by Up to 480%The authors of a recent arXiv preprint (arXiv:2510.23483v2) announced a field‑programmable gate array (FPGA)‑based accelerator designed to improve the efficiency…

Global: New TreeEIC Framework Enhances Incomplete Multi-View ClusteringResearchers have introduced a novel framework called TreeEIC to improve clustering performance on multi-view datasets that contain highly inconsistent missing patterns.BackgroundReal-world multi-view data…

Global: Positive-Unlabeled Learning Improves Detection of Corrupt Procurement Contracts in MexicoA team of researchers has introduced a positive‑unlabeled (PU) learning framework to identify likely corrupt and fraudulent contracts within Mexico’s…

Global: Preliminary Study Shows Membership Inference Attacks Limited Against Generative Music ModelsA team of researchers released a new arXiv paper in December 2025 that investigates whether membership inference attacks can…

Global: New Bayesian Tensor Completion Technique Automatically Determines RankResearchers from OceanSTAR Lab have introduced a rank-revealing functional Bayesian tensor completion (RR‑FBTC) method, as detailed in a paper posted to arXiv…