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07/21/2023
Robust Fully-Asynchronous Methods for Distributed Training over General Architecture
Perfect synchronization in distributed machine learning problems is inef...
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06/12/2023
On the Computation-Communication Trade-Off with A Flexible Gradient Tracking Approach
We propose a flexible gradient tracking approach with adjustable computa...
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05/02/2023
Mixed-Integer Optimal Control via Reinforcement Learning: A Case Study on Hybrid Vehicle Energy Management
Many optimal control problems require the simultaneous output of continu...
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03/01/2023
Aggressive Trajectory Generation for A Swarm of Autonomous Racing Drones
Autonomous drone racing is becoming an excellent platform to challenge q...
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07/08/2022
Tackling Data Heterogeneity: A New Unified Framework for Decentralized SGD with Sample-induced Topology
We develop a general framework unifying several gradient-based stochasti...
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07/09/2021
Lithography Hotspot Detection via Heterogeneous Federated Learning with Local Adaptation
As technology scaling is approaching the physical limit, lithography hot...
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02/25/2020
Distributed Algorithms for Composite Optimization: Unified Framework and Convergence Analysis
We study distributed composite optimization over networks: agents minimi...
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02/25/2020
Distributed Algorithms for Composite Optimization: Unified and Tight Convergence Analysis
We study distributed composite optimization over networks: agents minimi...
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10/23/2019
Accelerated Primal-Dual Algorithms for Distributed Smooth Convex Optimization over Networks
This paper proposes a novel family of primal-dual-based distributed algo...
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10/15/2018
Push-Pull Gradient Methods for Distributed Optimization in Networks
In this paper, we focus on solving a distributed convex optimization pro...
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03/20/2018