| Date | Presenter | Paper |
|---|---|---|
| 11/13 | MingJun Jin | Scalable Actor Networks with CAL by Gareth Callanan Flavius Gruian MEMOCODE '23: Proceedings of the 21st ACM-IEEE International Conference on Formal Methods and Models for System Design |
| Lisi Luo | Eventual consensus in Synod: verification using a failure-aware actor model by Paul, Saswata; Agha, Gul; Patterson, Stacy; Varela, Carlos Innovations in Systems and Software Engineering, 2022 |
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| TJ Hatch | The Art of the Fugue: Minimizing Interleaving in Collaborative Text Editing by Matthew Weidner, Carnegie Mellon University, Pittsburgh, PA, USA Martin Kleppmann, University of Cambridge, Cambridge, U.K. IEEE Transactions on Parallel and Distributed Systems, 2025 |
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| Ru Aguilar | Parallel Wormhole Filters: High-Performance Approximate Membership Query Data Structures for Persistent Memory by Hancheng Wang; Haipeng Dai; Shusen Chen; Meng Li; Rong Gu; Youyou Lu IEEE Transactions on Parallel and Distributed Systems, 2025 |
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| Jun Tan | Enabling Parallel Simulation of Large-Scale HPC Network Systems by Misbah Mubarak, Christopher D. Carothers, Robert B. Ross, and Philip Carns IEEE Transactions on Parallel and Distributed Systems, 2016 |
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| 11/17 | Lianting Wang | GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum by Cynthia Marcelino, Jack Shahhoud, Stefan Nastic IoT '24: Proceedings of the 14th International Conference on the Internet of Things
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| Zack Gordon | Personalized and Differential Privacy-Aware Video Stream Offloading in Mobile Edge Computing by Zhao, Yang, Zhang IEEE Transactions on Cloud Computing, 2024 |
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| Will Lewis | MicroEdge: A Multi-Tenant Edge Cluster System Architecture for Scalable Camera Processing by Difei Cao, Jinsun Yoo, Zhuangdi Xu, Enrique Saurez, Harshit Gupta, Tushar Krishna, Umakishore Ramachandran ACM/IFIP Middleware 2022 |
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| Devin Yasith De Silva | Tiny Federated Wireless Foundation Models for Resource-Constrained Devices by Hallaq, Mohammad and Khan, Fazal Muhammad Ali and Aboulfotouh, Ahmed and Hassan, Syed Ali and Dev, Kapal and Quasim, Mohammad Tabrez and Abou-Zeid, Hatem IEEE Internet of Things Journal, 2025 |
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| Hyejin Park | Resource Allocation Based on Deep Reinforcement Learning in IoT Edge Computing by Xiong Xiong, Kan Zheng, Lei Lei, Lu Hou IEEE Journal on Selected Areas in Communications (JSAC), 2020 |
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| 11/20 | Michael Cleversley | Federated Optimization: Distributed Machine Learning for On-Device Intelligence by Jakub Konečný, H. Brendan McMahan, Daniel Ramage, Peter Richtárik arXiv, 2016
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| Minghi Zhu | FedICT: Federated Multi-task Distillation for Multi-access Edge Computing by Wu, Zhiyuan and Sun, Sheng and Wang, Yuwei and Liu, Min and Pan, Quyang and Jiang, Xuefeng and Gao, Bo IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS, 2023 |
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| Caleb Carr | Distributed and Collaborative High-Speed Inference Deep Learning for Mobile Edge with Topological Dependencies by Shagufta Henna and Alan Davy IEEE TRANSACTIONS ON CLOUD COMPUTING, VOL. 10, NO. 2, APRIL-JUNE 2022 |
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| Gris Tran | Towards Scalable Distributed Training of Deep Learning on Public Cloud Clusters by Shaohuai Shi, Xianhao Zhou, Shutao Song, Xingyao Wang, Zilin Zhu, Xue Huang, Xinan Jiang, Feihu Zhou, Zhenyu Guo, Liqiang Xie, Rui Lan, Xianbin Ouyang, Yan Zhang, Jieqian Wei, Jing Gong, Weiliang Lin, Ping Gao, Peng Meng, Xiaomin Xu, Chenyang Guo, Bo Yang, Zhibo Chen, Yongjian Wu, Xiaowen Chu Proceedings of the MLSys Conference, 2021 |
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| Nipun Deelaka Pathirage | Multi-Agent Deep Reinforcement Learning Framework for Renewable Energy-Aware Workflow Scheduling on Distributed Cloud Data Centers by Hancheng Wang; Haipeng Dai; Shusen Chen; Meng Li; Rong Gu; Youyou Lu IEEE Transactions on Parallel and Distributed Systems, 2024 |
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| 12/01 | Gia Oriana Santos | Enhancing Privacy-Preserving Knowledge Graph Embeddings with Federated Learning for IoT Services by Hongliang Sun, Xiaofeng Bi, Zhiying Tu, Bohai Zhao, Kai Zhang, Dianhui Chu, Xiaofei Xu ACM Transactions on Internet Technology, 2025 |
| Zhexi Lu | Biscotti: A Blockchain System for Private and Secure Federated Learning by Muhammad Shayan, Clement Fung , Chris J. M. Yoon , and Ivan Beschastnikh IEEE Transactions on Parallel and Distributed Systems, 2021 |
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| Kyle Eng | Zero-Trust Security Models for Cloud Data Analytics: Enhancing Privacy in Distributed Systems by Ravi Kumar Vankayalapati, Dilip Valiki,and Venkata Krishna Azith Teja Ganti Journal of Artificial Intelligence & Cloud Computing, 2025 |
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| Henry Holt | Fine-Grained and Sanitizable Access Control Service for IoT-Based Digital Subscriptions by Shujun Wang, Jianting Ning, Shengmin Xu, Jiguo Li, Kai Zhang IEEE Internet of Things Journal, 2025 |
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| Nikhil Belgaonkar | Trusted Model Aggregation With Zero-Knowledge Proofs in Federated Learning by Renwen Ma, Kai Hwang, Mo Li, and Yiming Miao IEEE Transactions on Dependable and Secure Computing (TDSC), 2024 |
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| 12/04 | Leon Rozas | Collaboration as a Service: Digital-Twin-Enabled Collaborative and Distributed Autonomous Driving by Yilong Hui; Xiaoqing Ma; Zhou Su; Nan Cheng; Zhisheng Yin; Tom H. Luan IEEE Internet of Things Journal, Volume 9, Issue 19, 2022 |
| Adam Saich | Task-Based Network Reconfiguration in Distributed UAV Swarms: A Bilateral Matching Approach by Dianxiong Liu, Zhiyong Du, Member, IEEE, Xiaodu Liu, Heyu Luan, Yitao Xu, and Yifan Xu IEEE/ACM TRANSACTIONS ON NETWORKING, VOL. 30, NO. 6, 2022 |
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| Elvis Sun | Internet of Things for Smart Cities by Andrea Zanella; Nicola Bui; Angelo Castellani; Lorenzo Vangelista; Michele Zorzi IEEE Internet of Things Journal, 2014 |
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| Jimi Xia | Empirical analysis of programming language adoption by Leo A Meyerovich, Ariel Rabkin ACM OOPSLA, 2013 |
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| Alex Rougebec | Two Decades of Recommender Systems at Amazon.com by Brent Smith, Greg Linden IEEE Internet Computing, 2017 |