JournalIEEE Transactions on Neural Networks and Learning Systems2019
Robust and Communication-Efficient Federated Learning From Non-i.i.d. Data
Felix Sattler, Simon Wiedemann, Klaus‐Robert Müller, et al.
Sparse ternary compression (STC) enables communication-efficient federated learning with non-i.i.d. data by compressing both upstream and downstream updates via sparsification, ternarization, and Golomb encoding.
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