Name
Abstract | ||
|---|---|---|
Gradient codes use data replication to mitigate the effect of straggling machines in distributed machine learning. Approximate gradient codes consider codes where the data replication factor is too low to recover the full gradient exactly. Our work is motivated by the challenge of designing approximate gradient codes that simultaneously work well in both the adver... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/JSAIT.2021.3100110 | IEEE Journal on Selected Areas in Information Theory |
Keywords | DocType | Volume |
Decoding,Encoding,Convergence,Servers,Special issues and sections,Sparse matrices,Task analysis | Journal | 2 |
Issue | Citations | PageRank |
3 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Margalit Glasgow | 1 | 0 | 0.68 |
| Mary Wootters | 2 | 172 | 25.99 |