HIGHLIGHTS
- What: The experiments were conducted on a decentralized training framework implemented using PyTorch Distributed. The aim of the proposed methodology is to minimize communication overhead. This research proposed a comprehensive methodology to address this challenge, integrating gradient compression, adaptive communication intervals, and dynamic topology optimization.
- Who: ABzY`s from the College, Government Polytechnic, Vijayapura, Karnataka, India have published the Article: International Journal for Multidisciplinary Research (IJFMR), in the Journal: (JOURNAL)
- How: This paper introduces advanced techniques that leverage gradient compression adaptive sparsification and hybrid aggregation to optimize communication efficiency while maintaining model accuracy . . .
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