Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one ...
This study offers a valuable methodological advance by introducing a gene panel selection approach that captures combinatorial specificity to define cell identity. The findings address key limitations ...
When machine learning is used to suggest new potential scientific insights or directions, algorithms sometimes offer ...
KillChainGraph predicts attack sequences using machine learning. Rather than just flagging individual suspicious events, it ...
FedCCS: Efficient Federated Learning with Clustering-Based Client Selection and Bandwidth Allocation
Abstract: Federated learning (FL) has emerged as the most promising distributed machine learning training framework due to its advantages in efficiency, privacy preservation, and scalability. In the ...
Abstract: The extensive use of time-division duplexing in 5G and 6G poses a challenge to the linear operation of the power amplifiers (PAs) in radio base stations. Particularly with gallium nitride ...
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