IDEAL: Inexact decentralized accelerated augmented Lagrangian method

Yossi Arjevani, Joan Bruna, Bugra Can, Mert Gürbüzbalaban, Stefanie Jegelka, Hongzhou Lin

Research output: Contribution to journalConference articlepeer-review

8 Scopus citations

Fingerprint

Dive into the research topics of 'IDEAL: Inexact decentralized accelerated augmented Lagrangian method'. Together they form a unique fingerprint.

Keyphrases

Computer Science

Mathematics