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ฤฆ *Breadcrumb from IEEE* that was missed - Decentralized Learning using Hashgraph Consensus. "Our work demonstrates that distributed learning using hashgraph consensus can be performed efficiently and is a valid alternative to traditional federated learning." ฤฆ I was googling around and stumbled across this: https://ieeexplore.ieee.org/document/11126666 All 3 of the authors are from the Institute for Software Integrated Systems at Vanderbilt University. Their work was published at an IEEE conference in 2025. Here's what Claude says about it: ================================================================= The article itself The paper argues that federated learning typically relies on a central server for coordination, which creates a bottleneck and single point of failure, so the authors built a distributed learning architecture that eliminates the need for one. It uses the hashgraph consensus algorithm โ a distributed ledger technology โ so computing nodes can train models on local data and aggregate with models received from neighbors.