Abstract: Federated learning (FL) is a privacy-preserving alternative to centralized machine learning, where model training is performed on local devices and only global model updates are shared, ...
A proposed function of TADs is to contribute to gene regulation by promoting chromatin interactions within a TAD and by suppressing interactions between TADs. Here, we directly probe the ...
Breaking Traditional Encryption Protocols: Quantum Computing and the Future of Secure Communications
Introduction Envision our digital world as a sprawling universe filled with glittering constellations of encrypted data, each packet of information ...
Imagine trying to design a key for a lock that is constantly changing its shape. That is the exact challenge we face in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results