communication complexity
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Improving the Worst-Case Bidirectional Communication Complexity for Nonconvex Distributed Optimization under Function Similarity
Effective communication between the server and workers plays a key role in distributed optimization. In this paper, we focus on optimizing communication, uncovering inefficiencies in prevalent downlink compression approaches.
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LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning
Tianyi Chen, Georgios Giannakis, Tao Sun, Wotao Yin
Neural Information Processing Systems http://nips.cc/
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GIANT: Globally Improved Approximate Newton Method for Distributed Optimization
Shusen Wang, Fred Roosta, Peng Xu, Michael W. Mahoney
Neural Information Processing Systems http://nips.cc/
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Efficient and Thrifty Voting by Any Means Necessary
Debmalya Mandal, Ariel D. Procaccia, Nisarg Shah, David Woodruff
Neural Information Processing Systems http://nips.cc/
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