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Published in ISIT 2022, 2022
This paper is about communication capacity in the presence of a malicious jamming adversary.
Recommended citation: A. K. Yadav, M. Alimohammadi, Y. Zhang, A. J. Budkuley and S. Jaggi, "New Results on AVCs with Omniscient and Myopic Adversaries" 2022 IEEE International Symposium on Information Theory (ISIT), 2022. https://ieeexplore.ieee.org/document/9834632
Published in , 2022
In this paper, we addressed optimal gradient compression in distributed training of neural networks. Our proposed algorithm, called L-GreCo, uses dynamic programming to find the optimal layer-wise compression. L-GreCo preserves the model accuracy while providing training-time speed-ups under different compression schemes on multiple tasks and architectures. We are currently working towards submission to MlSys 2023.