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05/17/2023
Convergence and Privacy of Decentralized Nonconvex Optimization with Gradient Clipping and Communication Compression
Achieving communication efficiency in decentralized machine learning has...
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06/20/2022
SoteriaFL: A Unified Framework for Private Federated Learning with Communication Compression
To enable large-scale machine learning in bandwidth-hungry environments ...
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01/31/2022
BEER: Fast O(1/T) Rate for Decentralized Nonconvex Optimization with Communication Compression
Communication efficiency has been widely recognized as the bottleneck fo...
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10/04/2021
DESTRESS: Computation-Optimal and Communication-Efficient Decentralized Nonconvex Finite-Sum Optimization
Emerging applications in multi-agent environments such as internet-of-th...
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02/26/2021
NCH Sleep DataBank: A Large Collection of Real-world Pediatric Sleep Studies
Despite being crucial to health and quality of life, sleep – especially ...
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09/12/2019
Communication-Efficient Distributed Optimization in Networks with Gradient Tracking
There is a growing interest in large-scale machine learning and optimiza...
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05/22/2018
Nonparametric Density Estimation under Adversarial Losses
We study minimax convergence rates of nonparametric density estimation u...
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05/25/2017