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Smashed data bottlenecks in split learning? SL-FAC shrinks communication overhead by intelligently quantizing frequency components, boosting training efficiency.
By adapting AI model complexity to channel conditions, this work unlocks significant gains in edge inference throughput compared to fixed-complexity approaches.
