Anti-forgetting representation learning method reduces the weight aggregation interference on model memory and augments the ...

Abstract: Secure data aggregation is a powerful strategy for ensuring both data availability and privacy protection in smart grids. However, existing methods face two significant challenges: first, ...

Delivering high-fidelity investment data across th... Financial data aggregation is foundational to modern wealth management. It enables advisors to deliver holistic advice by collecting, normalizing, ...

A Unified Data Network for Modern Wealth 3 Ways ByAllAccounts Stands Out From the Competition Planning for the Future The Value of ByAllAccounts A Unified Data Network for Modern Wealth A Unified Data ...

Directed evolution leverages the principles of natural selection to engineer biomolecules with desired properties. Microbead-based approaches within water-in-oil emulsions have proven invaluable for ...

The Trump administration has expanded Palantir’s work with the government, spreading the company’s technology — which could easily merge data on Americans — throughout agencies. Alex Karp, a ...

With the development of smart grid and the diversification of their applications, privacy-preserving multi-dimensional data aggregation has been widely studied because it can analyze users’ ...

Protecting user data while enabling advanced analytics and machine learning is a critical challenge. Organizations must process and analyze data without compromising privacy, but existing solutions ...

Figure 1. Overview of the study areas A and B, including location, land cover types, and surface elevation from ALOS World 3D-30 m elevation data (version 2.1). Study Area A is situated in Deqin ...

Abstract: Federated Learning (FL) enables decentralized training of machine learning models across multiple clients, preserving data privacy by aggregating locally trained models without sharing raw ...