2024
Energy-Efficient Decentralized Learning Via Graph Sparsification
ICASSP 2024accepted
This work aims at improving the energy efficiency of decentralized learning by optimizing the mixing matrix, which controls the communication demands during the learning process. Through rigorous analysis based on a state-of-the-art decentralized learning algorithm, the problem is formulated as a bi…