Abstract: The federated learning (FL) client selection scheme can effectively mitigate global model performance degradation caused by the random aggregation of clients with heterogeneous data.

Iron Noodle announces the expansion of its AI Concierge model, standardizing lead response, intake progression, and seamless client communication for law firms. Iron Noodle, the leader in law firm ...

Fluence Energy's industrial-scale battery systems deliver the clean, stable power that AI data centers require. Credo Technology's high-speed copper cables match fiber-optic performance at a fraction ...

AI data centers are hungry beasts. They devour electricity, generate enormous heat, and demand network speeds that would have seemed like science fiction a decade ago. AI systems like ChatGPT and ...

India’s crude imports by source in January. India reduced its crude oil imports from Russia in January 2026, even as it stepped up purchases from the Middle East and Africa, according to ...

CANBY, Ore., Feb. 5, 2026 /PRNewswire/ -- HawkSoft, a leading agency management system for independent insurance agencies, today announced a new partnership with RiskAdvisor, a client intake and risk ...

Abstract: Federated learning allows distributed clients to train a shared machine learning model while preserving user privacy. In this framework, user devices (i.e., clients) perform local iterations ...