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Found 17 papers, 2 papers with code
Nemesis: Noise-randomized Encryption with Modular Efficiency and Secure Integration in Machine Learning Systems
Machine learning (ML) systems that guarantee security and privacy often rely on Fully Homomorphic Encryption (FHE) as a cornerstone technique, enabling computations on encrypted data without exposing sensitive information.
Ares: Approximate Representations via Efficient Sparsification -- A Stateless Approach through Polynomial Homomorphism
The increasing prevalence of high-dimensional data demands efficient and scalable compression methods to support modern applications.
Approximate Fiber Product: A Preliminary Algebraic-Geometric Perspective on Multimodal Embedding Alignment
Additionally, we propose a decomposition of the shared embedding space into orthogonal subspaces, \( Z = Z_s \oplus Z_I \oplus Z_T \), where \( Z_s \) captures shared semantics, and \( Z_I \), \( Z_T \) encode modality-specific features.
NexusIndex: Integrating Advanced Vector Indexing and Multi-Model Embeddings for Robust Fake News Detection
The FAISSNexusIndex layer further optimizes this process, enabling real-time detection and enhancing the system's scalability and performance.
VecLSTM: Trajectory Data Processing and Management for Activity Recognition through LSTM Vectorization and Database Integration
Activity recognition is a challenging task due to the large scale of trajectory data and the need for prompt and efficient processing.
VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search
Traditional retrieval methods have been essential for assessing document similarity but struggle with capturing semantic nuances.
OPDR: Order-Preserving Dimension Reduction for Semantic Embedding of Multimodal Scientific Data
In order to develop such an OPDR method, our central hypothesis is that by analyzing the intrinsic relationship among key parameters during the dimension-reduction map, a quantitative function may be constructed to reveal the correlation between the target (lower) dimensionality and other variables.
MUCM-Net: A Mamba Powered UCM-Net for Skin Lesion Segmentation
To further aid early diagnosis, especially on mobile devices with limited computing power, we present MUCM-Net.
EnviroExam: Benchmarking Environmental Science Knowledge of Large Language Models
In the field of environmental science, it is crucial to have robust evaluation metrics for large language models to ensure their efficacy and accuracy.
Enhancing Data Provenance and Model Transparency in Federated Learning Systems - A Database Approach
Our findings show that our system can greatly enhance data transparency in various FL environments by storing chained cryptographic hashes and client model snapshots in our proposed design for data decoupled FL.
Smuche: Scalar-Multiplicative Caching in Homomorphic Encryption
A promising strategy to tackle this issue involves optimizing the performance of fully homomorphic encryption (HE).
UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN
Skin cancer poses a significant public health challenge, necessitating efficient diagnostic tools.
Comparative Evaluation of Data Decoupling Techniques for Federated Machine Learning with Database as a Service
To evaluate this approach, the authors develop a framework called Data-Decoupling Federated Learning (DDFL) and compare it with state-of-the-art FL systems that tightly couple data management and computation.
A SVD-based Dynamic Harmonic Phasor Estimator with Improved Suppression of Out-of-Band Interference
The diffusion of nonlinear loads and power electronic devices in power systems deteriorates the signal environment and increases the difficulty of measuring harmonic phasors.
Nonparametric Topological Layers in Neural Networks
Various topological techniques and tools have been applied to neural networks in terms of network complexity, explainability, and performance.
BAASH: Enabling Blockchain-as-a-Service on High-Performance Computing Systems
The state-of-the-art approach to manage blockchains is to process blocks of transactions in a shared-nothing environment.
Distributed, Parallel, and Cluster Computing
The Blockchain Game: Synthesis of Byzantine Systems and Nash Equilibria
This position paper presents a synthesis viewpoint of blockchains from two orthogonal perspectives: fault-tolerant distributed systems and game theory.
