News
One of the shared, fundamental goals of most chemistry researchers is the need to predict a molecule's properties, such as ...
Despite the AI hype, ML tools really are proving valuable for leading-edge chip manufacturing. More aggressive feature ...
Recently, federated learning has been envisioned as a pioneering distributed machine learning (ML) approach for managing the multi-objective optimization problem in STAR-RIS-aided SAGINs. This ...
Over-the-air federated learning (OTA-FL) presents a promising distributed machine learning paradigm that improves the efficiency of local update aggregation by leveraging the superposition property of ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results