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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 ...