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Yichuan Li
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FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity
Y Gong*, Y Li*, NM Freris
2022 IEEE 38th International Conference on Data Engineering (ICDE), 2575-2587, 2022
252022
DN-ADMM: Distributed Newton ADMM for Multi-agent Optimization
Y Li, NM Freris, P Voulgaris, D Stipanovic
2021 60th IEEE Conference on Decision and Control (CDC), 3343-3348, 2021
82021
A Communication Efficient Quasi-Newton Method for Large-scale Distributed Multi-agent Optimization
Y Li, PG Voulgaris, NM Freris
IEEE International Conference on Acoustics, Speech and Signal Processing …, 2022
62022
BFGS-ADMM for Large-Scale Distributed Optimization
Y Li, Y Gong, NM Freris, P Voulgaris, D Stipanovic
2021 60th IEEE Conference on Decision and Control (CDC), 1689-1694, 2021
62021
D-SOP: Distributed second order proximal method for convex composite optimization
Y Li, NM Freris, P Voulgaris, D Stipanović
2020 American Control Conference (ACC), 2844-2849, 2020
62020
Decentralized model predictive control of urban drainage systems
Y Li, D Stipanović, P Voulgaris, Z Gu
WSEAS Transactions on Systems and Control 14, 247-256, 2018
42018
Communication Efficient Curvature Aided Primal-dual Algorithms for Decentralized Optimization
Y Li, PG Voulgaris, DM Stipanovic, NM Freris
IEEE Transactions on Automatic Control, 2023
22023
Distributed Primal-dual Optimization for Heterogeneous Multi-agent Systems
Y Li, P Voulgaris, NM Freris
2022 61st IEEE Conference on Decision and Control (CDC), 2022
12022
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