Abstract: Federated learning (FL) is an innovative privacy-preserving machine learning paradigm that enables clients to train a global model without sharing their local data. However, the coexistence ...
Real-world test of Apple's latest implementation of Mac cluster computing proves it can help AI researchers work using massive models, thanks to pooling memory resources over Thunderbolt 5. One month ...
Abstract: Motivated by the complex dynamics of cooperative and competitive interactions within networked agent systems, multi-cluster games provide a framework for modeling the interconnected goals of ...
The introduction of RDMA over Thunderbolt in macOS 26.2 marks a significant leap forward for local AI and HPC workflows. This feature allows Mac Studio systems to pool memory seamlessly, allowing ...
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