AI RESEARCH
FedACT: Concurrent Federated Intelligence across Heterogeneous Data Sources
arXiv CS.AI
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ArXi:2605.00011v1 Announce Type: cross Federated Learning (FL) enables collaborative intelligence across decentralized data source devices in a privacy-preserving way. While substantial research attention has been drawn to optimizing the learning process for an individual task, real-world applications increasingly require multiple machine learning tasks simultaneously