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06/17/2022
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning
Newton-type methods are popular in federated learning due to their fast ...
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05/31/2021
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent
In this paper, we propose an energy-efficient federated meta-learning fr...
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10/23/2019
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning
In this paper, we propose a communication-efficient decentralized machin...
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08/30/2019
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
When the data is distributed across multiple servers, efficient data exc...
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10/18/2018
