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C. Li, M. Xiao and M. Skoglund are with the Division of Information Science and Engineering, School of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, 10044 Stockholm, Sweden. (e-mail: chengxli@kth.se; mingx@kth.se; skoglund@kth.se). Corresponding author: Chengxi Li
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Biased compression, previously overlooked in distributed learning with gradient coding, can actually boost performance when combined with error feedback to mitigate straggler effects and reduce communication costs.
