Song Guo - Selected Publications#

I. Edge AI and Distributed Machine Learning

[1] Song Guo and Zhihao Qu, “Edge Learning for Distributed Big Data Analytics: Theory, Algorithms, and System Design”, Cambridge University, ISBN-13: 9781108832373, 2021.

[2] Jie Zhang, Song Guo, Xiaosong Ma, Haozhao Wang, Wenchao Xu, and Feijie Wu, “Parameterized Knowledge Transfer for Personalized Federated Learning”, The Conference on Neural Information Processing Systems (NeurIPS), vol. 33, no. 1, January 2022, pp. 14-25.

[3] Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, and Weihua Zhuang, “LOSP: Overlap Synchronization Parallel with Local Compensation for Fast Distributed Training”, IEEE Journal on Selected Areas in Communications, vol. 39, no. 8, August 2021.

[4] Xiaojie Wang, Zhaolong Ning, and Song Guo, “Multi-agent Imitation Learning for Pervasive Edge Computing: A Decentralized Computation Offloading Algorithm”, IEEE Transactions on Parallel and Distributed Systems, vol. 32, no. 2, February 2021, pp. 411-425.

[5] Qihua Zhou, Song Guo, Haodong Lu, Li Li, Minyi Guo, Yanfei Sun and Kun Wang, “Falcon: Addressing Stragglers in Heterogeneous Parameter Server via Multiple Parallelism”, IEEE Transactions on Computers, vol. 70, no. 1, January 2021, pp. 139-155.

[6] Junxiao Wang, Song Guo, Xin Xie and Heng Qi, “Federated Unlearning via Class-Discriminative Pruning”, The Web Conference (WWW), Lyon, France, April 2022.

II. Big Data and Cloud/Edge Computing

[7] Lin Gu, Deze Zeng, Song Guo, Ahmed Barnawi, and Yong Xiang, “Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System”, IEEE Transactions on Emerging Topics in Computing, vol. 5, no. 1, March 2017, pp. 108-119.

[8] Deze Zeng, Lin Gu, Song Guo, Zixue Cheng, and Shui Yu, “Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System”, IEEE Transactions on Computers, vol. 65, no. 12, December 2016, pp. 3702-3712.

[9] Lin Gu, Deze Zeng, Peng Li, and Song Guo, “Cost Minimization for Big Data Processing in Geo-Distributed Data Centers”, IEEE Transactions on Emerging Topics in Computing, vol. 2, no. 3, September 2014, pp. 314-323.

III. Resilient Computing

[10] Peng Li, Song Guo, Shui Yu, and Athanasios Vasilakos, “Reliable Multicast with Pipelined Network Coding using Opportunistic Feeding and Routing”, IEEE Transactions on Parallel and Distributed Systems, vol. 25, no. 12, December 2014, pp. 3264-3273.

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