Published in: LIPIcs, Volume 184, 24th International Conference on Principles of Distributed Systems (OPODIS 2020)
Qinzi Zhang and Lewis Tseng. Echo-CGC: A Communication-Efficient Byzantine-Tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network. In 24th International Conference on Principles of Distributed Systems (OPODIS 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 184, pp. 7:1-7:16, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)
@InProceedings{zhang_et_al:LIPIcs.OPODIS.2020.7, author = {Zhang, Qinzi and Tseng, Lewis}, title = {{Echo-CGC: A Communication-Efficient Byzantine-Tolerant Distributed Machine Learning Algorithm in Single-Hop Radio Network}}, booktitle = {24th International Conference on Principles of Distributed Systems (OPODIS 2020)}, pages = {7:1--7:16}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-176-4}, ISSN = {1868-8969}, year = {2021}, volume = {184}, editor = {Bramas, Quentin and Oshman, Rotem and Romano, Paolo}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.OPODIS.2020.7}, URN = {urn:nbn:de:0030-drops-134927}, doi = {10.4230/LIPIcs.OPODIS.2020.7}, annote = {Keywords: Distributed Machine Learning, Single-hop Radio Network, Byzantine Fault, Communication Complexity, Wireless Communication, Parameter Server} }
Published in: LIPIcs, Volume 179, 34th International Symposium on Distributed Computing (DISC 2020)
Lewis Tseng, Qinzi Zhang, and Yifan Zhang. Brief Announcement: Reaching Approximate Consensus When Everyone May Crash. In 34th International Symposium on Distributed Computing (DISC 2020). Leibniz International Proceedings in Informatics (LIPIcs), Volume 179, pp. 53:1-53:3, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)
@InProceedings{tseng_et_al:LIPIcs.DISC.2020.53, author = {Tseng, Lewis and Zhang, Qinzi and Zhang, Yifan}, title = {{Brief Announcement: Reaching Approximate Consensus When Everyone May Crash}}, booktitle = {34th International Symposium on Distributed Computing (DISC 2020)}, pages = {53:1--53:3}, series = {Leibniz International Proceedings in Informatics (LIPIcs)}, ISBN = {978-3-95977-168-9}, ISSN = {1868-8969}, year = {2020}, volume = {179}, editor = {Attiya, Hagit}, publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik}, address = {Dagstuhl, Germany}, URL = {https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.DISC.2020.53}, URN = {urn:nbn:de:0030-drops-131319}, doi = {10.4230/LIPIcs.DISC.2020.53}, annote = {Keywords: Approximate Consensus, Fair-loss Channel, Crash-recovery} }
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