Computer Science ›› 2026, Vol. 53 ›› Issue (6A): 250700050-10.doi: 10.11896/jsjkx.250700050
• Network & Communication • Previous Articles Next Articles
LYU Qingguo1,2, HE Chenglong1, HU Hanqing2, ZHANG Wei1,3, DAI Xiangguang1, ZHANG Keke3, GUAN Mingyu1
CLC Number:
| [1] WANG M,FANG E X,LIU H.Stochastic compositional gra-dient descent:algorithms for minimizing compositions of expected-value functions[J.] Mathematical Programming,2017,161(1/2):419-449 [2] BOTTOU L,CURTIS F E,NOCEDAL J.Optimization methods for large-scale machine learning[J].SIAM Review,2018,60(2):223-311. [3] RAJA H,BAJWA W U.Cloud K-SVD:A collaborative dictionary learning algorithm for big,distributed data[J].IEEE Transactions on Signal Processing,2016,64(1):173-188. [4] DRIGGS D,TANG J,LIANG J,et al.A stochastic proximal alternating minimization for nonsmooth and non convex optimization[J].SIAM Journal of Imaging Sciences,2021,14(4):1932-1970. [5] CHEN T,SUN Y,YIN W.Solving stochastic compositional optimization is nearly as easy as solving stochastic optimization[J].IEEE Transactions on Signal Processing,2021,69:4937-4948. [6] FINN C,ABBEEL P,LEVINE S.Model-agnostic meta-learning for fast adaptation of deep networks[C]//International Confe-rence on Machine Learning.PMLR,2017:1126-1135. [7] SUTTON R S,BARTO A G.Reinforcement learning:An introduction[M].MIT Press,2018. [8] NIU F,RECHT B,RE C,et al.Hogwild!:A lock-free ap-proach to parallelizing stochastic gradient descent[J].arXiv:1106.5730,2011. [9] ZHANG K K,LYU Q G,LIAO X F,et al.Zeroth-Order Decentralized Dual Averaging for Online Optimization With Privacy Consideration[J].IEEE Transactions on Emerging Topics in Computational Intelligence,2024,8(6):3754-3766. [10] CHENG H Q,LYU Q G,HU J,et al.Decentralized Online Dual Averaging Optimization Ensuring Differential Privacy and Expected Regret [C]//2024 International Conference on Neuromorphic Computing(ICNC).2025. [11] CHEN Y,ZHAI Q,ZHOU Y,et al.A Traffic Simulation Algorithm for Time-Trigger Flows in Asynchronous Time-Sensitive Networking[C]//2023 China Automation Congress(CAC).2023. [12] LUO X,LI X,LI S,et al.Consensus for linear multi-agent systems with constant and time-varying communication delays via delay-decomposition approach[C]//Proceeding of the 11th World Congress on Intelligent Control and Automation.2015. [13] SONG Q,MENG D,LIU F.Consensus-based iterative learning of heterogeneous agents with application to distributed optimization[J].Automatica,2022,137:110096. [14] GAO H,HUANG H.Fast training method for stochastic compositional optimization problems[C]//Advances in Neural Information Processing Systems.Curran Associates Inc.,2021:25334-25345. [15] ZHAO S,LIU Y.Distributed stochastic compositional optimization problems over directed net works[J].Computational Optimization and Applications,2024,87(1):249-288. [16] MONARDO V,IYER A,DONEGAN S,et al.Plug-And-PlayImage Reconstruction Meets Stochastic Variance-Reduced Gradient Methods[C]//2021 IEEE International Conference on Image Processing(ICIP).2021. [17] BULUSU S,LI Q,VARSHNEY P K.On Convex StochasticVariance Reduced Gradient for Adversarial Machine Learning[C]//2019 IEEE Global Conference on Signal and Information Processing(GlobalSIP).2020. [18] NIU Y,LI H,WANG Z,et al.A Distributed Stochastic Proximal-Gradient Algorithm for Composite Optimization[J].IEEE Transactions on Control of Network Systems,2021,8(3):1383-1393. [19] WANG Z,LI H.Edge-Based Stochastic Gradient Algorithm for Distributed Optimization[J].IEEE Transactions on Network Science and Engineering,2023,7(3):1421-1430. [20] WANG X,ZHU Q.Research on Stochastic Gradient and Recursive Least Squares Deck Motion Prediction Fusion Algorithm Based on Autoregressive Model[C]//2022 IEEE International Conference on Mechatronics and Automation(ICMA).2022. [21] DONG R,ZHANG Y,ZHANG Y.Recursive and iterative stochastic gradient algorithms based on two-step update estimation for wiener systems[C]//2017 11th Asian Control Conference(ASCC).2017. [22] QURESHI M I,XIN R,KAR S,et al.Variance Reduced Sto-chastic Optimization Over Directed Graphs with Row and Co-lumn Stochastic Weights[C]//2023 57th Asilomar Conference on Signals,Systems,and Computers.2023. [23] SUN A T.Research on Big Data Distributed Computing Model and Algorithm Optimization for Complex Network Analysis[C]//2025 International Conference on Digital Analysis and Processing,Intelligent Computation(DAPIC).2025. [24] HUANG Z,LIU F,TANG M,et al.A distributed computingframework based on lightweight variance reduction method to accelerate machine learning training on blockchain[J].China Communications,2020,17(9):77-89. [25] ERCIYES K.A parallel closed centrality algorithm for complex networks[C]//2021 2nd International Informatics and Software Engineering Conference(IISEC).2021. [26] LI S,LIANG X,CHEN Y,et al.A Centralized Block Placement Algorithm Based on Sequence Pair Representation[C]//2024 13th International Conference on Communications,Circuits and Systems(ICCCAS).2024. [27] HUANG H,CHEN X,WANG L,et al.EH-SCSD:A Semi Centralized and Semi Distributed Clustered Routing Algorithm Based on EHWSN[C]//2023 2nd International Conference on Sensing,Measurement,Communication and Internet of Things Technologies(SMC-IoT).2024. [28] BRACKRTT P,LIU S,LIU Y.SC-MAIRL:Semi-CentralizedMulti-Agent Imitation Reinforcement Learning[J].IEEE Access,2023,11:57965-57976. [29] XIN R,KHAN U A,KAR S.Variance-reduced decentralizedstochastic optimization with accelerated convergence[J].IEEE Transactions on Signal Processing,2020,68:6255-6271. |
| [1] | DAI Xiangguang, HE Chenglong, GUAN Mingyu, ZHANG Wei, ZHOU Yang, LIU Jianfeng, LYU Qingguo. State-decomposition Distributed Dual Averaging Algorithm for Privacy Online ConstrainedOptimization over Directed Networks [J]. Computer Science, 2025, 52(8): 411-420. |
| [2] | LU Shu-xia, CAI Lian-xiang, ZHANG Luo-huan. Robust SVM Based on Zeroth Order Variance Reduction [J]. Computer Science, 2019, 46(11): 193-201. |
| [3] | LI Li-jie,CHEN Duan-bing and WANG Guan-nan. Fast Algorithm for Overlapping Community Detection in Directed Networks [J]. Computer Science, 2014, 41(Z6): 258-261. |
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