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this thesis, the student will investigate sustainable distributed inference architectures, and on distributed learning algorithms, that aim at equalizing the performance of in-network green ML/AI as observed
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. This position could be co-financed by the project “ORIGAMI: Optimized resource integration and global architecture for mobile infrastructure for 6G” (Grant Agreement n. 101139270), funded by the Smart Networks
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