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03/05/2023
PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities
Recently, min-max optimization problems have received increasing attenti...
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12/05/2022
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
Decentralized bilevel optimization has received increasing attention rec...
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10/02/2022
SAGDA: Achieving 𝒪(ε^-2) Communication Complexity in Federated Min-Max Learning
To lower the communication complexity of federated min-max learning, a n...
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08/17/2022
NET-FLEET: Achieving Linear Convergence Speedup for Fully Decentralized Federated Learning with Heterogeneous Data
Federated learning (FL) has received a surge of interest in recent years...
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08/17/2022
SYNTHESIS: A Semi-Asynchronous Path-Integrated Stochastic Gradient Method for Distributed Learning in Computing Clusters
To increase the training speed of distributed learning, recent years hav...
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07/27/2022
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
In recent years, decentralized bilevel optimization problems have receiv...
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07/11/2022
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR
In the past decade, with the development of big data technology, an incr...
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09/11/2018