PC-MoE shards the expert layers of an MoE LLM across parties and routes only sparse top-k activations between them, achieving near-centralized accuracy with about 70% memory savings and resistance to one partial-gradient reconstruction attack.
In: Advances in Neural Information Processing Systems, pp
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PC-MoE: Memory-Efficient and Privacy-Preserving Collaborative Training for Mixture-of-Experts LLMs
PC-MoE shards the expert layers of an MoE LLM across parties and routes only sparse top-k activations between them, achieving near-centralized accuracy with about 70% memory savings and resistance to one partial-gradient reconstruction attack.