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TopoCompress: Topology Aware Token Compression Algorithm for Distributed Edge MoE Inference
Mixture-of-experts (MoE) models improve capacity with moderate overhead by sparsely activating experts per token. However, deploying MoE across resource-constrained edge servers incurs substantial cross-server communication as experts are distributed across heterogeneous servers. Existing placement
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