Feb 12, 2015 · Our framework, CoCoA+, allows for additive combination of local updates to the global parameters at each iteration, whereas previous schemes ...
By weak duality, every value D(α) at a dual candidate α provides a lower bound on every primal value P(w). The duality gap is therefore a certificate on the ...
allows for additive com- bination of local updates to the global parame- ters at each iteration, whereas previous schemes only allow conservative averaging.
People also ask
What is the dual or primal optimization problem?
What is the primal dual approach?
allows for additive com- bination of local updates to the global parame- ters at each iteration, whereas previous schemes.
Reducing communication makes the efficient aggregation of partial work from different machines more challenging. In this paper we present a novel generalization ...
A novel generalization of the recent communication-efficient primal-dual framework (COCOA) for distributed optimization, which allows for additive ...
Jul 6, 2015 · Our framework, COCOA+, allows for additive combination of local updates to the global parameters at each iteration, whereas previous schemes ...
Our framework, CoCoA+, allows for additive combination of local updates to the global parameters at each iteration, whereas previous schemes only allow ...
Details ; Title Adding vs. Averaging in Distributed Primal-Dual Optimization ; Author(s) Ma, Chenxin ; Smith, Virginia ; Jaggi, Martin ; Jordan, Michael I. ; ...
Jan 11, 2023 · Bibliographic details on Adding vs. Averaging in Distributed Primal-Dual Optimization.