Latest Articles for Financial Technology

Introducing CryptoTrade, a system for smarter cryptocurrency trading using innovative data analysis.

An overview of neural networks, their structure, and applications across various fields.

Innovative techniques enhance QUBO formulations for quantum optimization tasks.

New algorithm achieves low regret in dynamic learning environments without prior knowledge.

A guide to Yul's role in Ethereum smart contracts.

Exploring the benefits of an offline digital euro for secure transactions.

AFIND+ improves decentralized federated learning by optimizing neighbor selection and update aggregation.

AFPNet offers improved detection of vulnerabilities in smart contracts using deep learning techniques.

A look into the advancements of GNNs and their interpretability.

New tools for Arabic dialects improve banking communication and customer service.

IdentityChain combines privacy and compliance for secure identity management.

New type system ensures smart contracts run smoothly without gas issues.

CrudiTEE introduces economic incentives for secure cryptocurrency key management.

New methods enhance privacy and communication in federated learning.

A new method ensures secure name matching while protecting sensitive data.

Zero-knowledge proofs enhance privacy and security in modern digital transactions.

Restaking presents new earning opportunities along with significant risks for node operators.

Exploring LLMs for identifying anomalies in time series data.

This study assesses KANs for effective fraud detection in various industries.

This article explores predictive multiplicity in KGE models and proposes voting methods to reduce conflicts.

Celtibero provides strong protection against attacks in federated learning systems.

A fresh approach to improve model accuracy by identifying low-quality data sources.

A new method enhances privacy while ensuring strong model performance in Federated Learning.

This article discusses advancements in protecting smart contracts against vulnerabilities and financial loss.

Improving Q-learning performance amid corrupted feedback in real-world applications.

A new method enhances predictions in machine learning using specialized models.

This study enhances key information extraction using a new model for unstructured documents.

A new approach improves how AI assesses uncertainty in predictions.

A novel approach to clustering that enhances efficiency and maintains quality in distributed environments.

Combining global and local prompts enhances federated learning models while preserving data privacy.

FLeNS improves federated learning by balancing learning speed and communication efficiency.

A new approach to effectively classify tensor data in various fields.

Federated Learning offers a new way to protect data while collaborating across devices.

SR-MCTS combines traditional rules with machine learning for better fraud detection.

FGAT offers a smarter way to predict connections in complex networks.

Exploring how quantum computing enhances machine learning capabilities.

A new model enhances real-time economic predictions using payment data and industry networks.

A new method improves fraud detection efficiency and accuracy using Graph Neural Networks.

A new approach to rule lists enhances transparency in machine-generated decisions.

Discover how XAI and NMA clarify AI decision-making processes.