How to optimize agents with limited bandwidth?
Logarithmically Quantized Distributed Optimization over Dynamic Multi-Agent Networks
October 29, 2024
https://arxiv.org/pdf/2410.20345The paper introduces a new method for distributed optimization in multi-agent networks where communication bandwidth is limited. It uses logarithmic quantization, which allocates more bits to smaller, more important values (like those near an optimal solution), leading to better accuracy than uniform quantization.
This method is relevant to LLM-based multi-agent systems because it provides a way for agents to efficiently share information and reach a consensus, even with limited communication capabilities. This could be particularly useful in scenarios where LLMs, acting as agents, need to collaborate and learn from each other without exchanging massive amounts of data.