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Towards Decentralized Optimization over Digraphs: Effective metrics, lower bound, and optimal algorithms
International Workshop on Stochastic Optimization
Xiangtan, China
April, 2024
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Towards Decentralized Optimization over Digraphs: Effective metrics, lower bound, and optimal algorithms
Seminar on Advancements in Optimization
Jilin, China
April, 2024
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Asynchronous Diffusion Learning with Agent Subsampling and Local Updates
IEEE International Conference on Acoustics, Speech and Signal Processing
Seoul, Korea
April, 2024
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Distributed Machine Learning: Part I
Machine Learning Summer School
OIST, Okinawa, Japan
March, 2024
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Distributed Machine Learning: Part II
Machine Learning Summer School
OIST, Okinawa, Japan
March, 2024
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Towards Decentralized Optimization over Digraphs: Effective metrics, lower bound, and optimal algorithms
Sun Yat-sen University, Guangzhou, China
December, 2023
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Achieving Linear Speedup with Network-Independent Learning Rates in Decentralized Optimization
The 62nd IEEE Conference on Decision and Control, Singapore
December, 2023
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A Unified Algorithm for Non-IID Decentralized Learning
Shenzhen University, Shenzhen, China
November, 2023
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Lower Bounds and Accelerated Algorithms in Distributed Optimization with Communication Compression
Chinese Academy of Sciences, Beijing, China
November, 2023
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Accelerating Decentralized Deep Training with Sparse and Effective Topologies
Chinese Academy of Sciences, Beijing, China
November, 2023