FLEX-MoE proposes client-expert fitness scores and an optimization algorithm to jointly maximize specialization and enforce balanced expert utilization in federated MoE for edge computing under non-IID data and capacity constraints.
InThe 2011 international joint conference on neural networks, 1453–1460
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FLEX-MoE: Federated Mixture-of-Experts with Load-balanced Expert Assignment for Edge Computing
FLEX-MoE proposes client-expert fitness scores and an optimization algorithm to jointly maximize specialization and enforce balanced expert utilization in federated MoE for edge computing under non-IID data and capacity constraints.