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@srxw apologies for late response. The first SL node to complete the local Training for a given sync round, will be elected as a leader. Please note the leader can change in each sync round. There is a new Environment Variable ('SL_MAKE_ME_ADMIN') introduced in recent release, where user can make specific SL to opt out of the Leader Election process. Refer here for more details. |
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Hello, I have read all your documents, which mentioned that Swarm Learning will temporary select a SL node as a leader to aggregate local models, but it does not mention the selection rules of the leader. I want to know that more detail to customize my training.
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