Abstract: Federated learning allows for cooperative training among distributed clients by sharing their locally learned model parameters, such as weights or gradients. However, as model size increases ...
Abstract: Distributed minimax optimization is essential for robust federated learning, offering resiliency against the variability in data distribution. Most previous works focus only on learning ...
DuckDB has recently introduced end-to-end interaction with Iceberg REST Catalogs directly within a browser tab, requiring no ...
On the data center side, the critical item is schedule confidence into Helios rack-scale systems (MI400 + EPYC Venice) and ...
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