Abstract: The general Cauchy loss (GCL) criterion has been successfully proposed to improve the performance of the Cauchy loss (CL) criterion for linear adaptive filtering in the presence of complex ...
Abstract: Decentralized learning is a distributed learning approach, wherein clients collaborate to learn a global model. Many optimization problems that appear in signal processing and machine ...
This fork extends the framework to support Hybrid Multi-Agent Systems, where agents can use different model checkpoints (from the same family) while still communicating via latent representations. The ...
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