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05/19/2023
Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Decentralized learning has recently been attracting increasing attention...
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09/30/2022
Momentum Tracking: Momentum Acceleration for Decentralized Deep Learning on Heterogeneous Data
SGD with momentum acceleration is one of the key components for improvin...
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06/24/2022
Approximating 1-Wasserstein Distance with Trees
Wasserstein distance, which measures the discrepancy between distributio...
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05/23/2022
Theoretical Analysis of Primal-Dual Algorithm for Non-Convex Stochastic Decentralized Optimization
In recent years, decentralized learning has emerged as a powerful tool n...
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05/08/2022
Communication Compression for Decentralized Learning with Operator Splitting Methods
In decentralized learning, operator splitting methods using a primal-dua...
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10/13/2021
Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following
An interactive instruction following task has been proposed as a benchma...
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09/08/2021
Fixed Support Tree-Sliced Wasserstein Barycenter
The Wasserstein barycenter has been widely studied in various fields, in...
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01/27/2021