Albert Y. Zomaya
- An Efficiency-Boosting Client Selection Scheme for Federated Learning With Fairness Guarantee
2020/11/26 by Tiansheng Huang, Weiwei Lin, Wentai Wu +3 · 8 citations
Computer Science · #Big Data and Digital Economy #IoT and Edge/Fog Computing #Privacy-Preserving Technologies in Data
- Federated Learning Over Wireless Networks: Convergence Analysis and Resource Allocation
2021/02/01 by Canh T. Dinh, Nguyen H. Tran, Minh N. H. Nguyen +4 · 7 citations
- Stochastic Client Selection for Federated Learning with Volatile Clients
2020/11/17 by Tiansheng Huang, Huang, Tiansheng, Weiwei Lin +7 · 5 citations
Computer Science · Social Sciences · #Access Control and Trust #Distributed #FOS: Computer and information sciences #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Parallel #Privacy-Preserving Technologies in Data #and Cluster Computing (cs.DC)
- Cloud-Native Computing: A Survey from the Perspective of Services
2023/06/26 by Shuiguang Deng, Hailiang Zhao, Deng, Shuiguang +15 · 7 citations
Computer Science · #Cloud Computing and Resource Management #Cloud Data Security Solutions #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #Software Engineering (cs.SE) #and Cluster Computing (cs.DC)
- A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems
2010/07/01 by Anton Beloglazov, Beloglazov, Anton, Rajkumar Buyya +6 · 1 citation
Computer Science · Engineering · #C.2.4 #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #Green IT and Sustainability #Parallel #Parallel Computing and Optimization Techniques #and Cluster Computing (cs.DC) #cs.DC
- Federated Learning as a Service for Hierarchical Edge Networks with Heterogeneous Models
2024/07/30 by Wentao Gao, Gao, Wentao, Omid Tavallaie +5 · 3 citations
Computer Science · #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Advanced Graph Neural Networks
- RBLA: Rank-Based-LoRA-Aggregation for Fine-tuning Heterogeneous Models in FLaaS
2024/08/16 by Shuaijun Chen, Chen, Shuaijun, Omid Tavallaie +5 · 4 citations
Engineering · #Distributed #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- A Manifesto for Future Generation Cloud Computing: Research Directions for the Next Decade
2017/11/24 by Rajkumar Buyya, Buyya, Rajkumar, Satish Narayana Srirama +47 · 1 citation
Computer Science · #Cloud Computing and Resource Management #Cloud Data Security Solutions #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
- DONE: Distributed Approximate Newton-type Method for Federated Edge\n Learning
2020/12/10 by Canh T. Dinh, Dinh, Canh T., Nguyen H. Tran +11 · 1 citation
Computer Science · Engineering · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Privacy-Preserving Technologies in Data #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
- GriDB: Scaling Blockchain Database via Sharding and Off-Chain Cross-Shard Mechanism
2024/07/04 by Zicong Hong, Song Guo, Hong, Zicong +9 · 2 citations
Computer Science · #Blockchain Technology Applications and Security #Databases (cs.DB) #FOS: Computer and information sciences
- Multi-Component Optimization and Efficient Deployment of Neural-Networks on Resource-Constrained IoT Hardware
2022/04/20 by Bharath Sudharsan, Dineshkumar Sundaram, Sudharsan, Bharath +13 · 1 citation
Computer Science · Engineering · #Advanced Neural Network Applications #Machine Learning and Data Classification #CCD and CMOS Imaging Sensors
- Hierarchical Federated Learning with Momentum Acceleration in Multi-Tier Networks
2022/10/26 by Zhengjie Yang, Yang, Zhengjie, Sen Fu +7 · 1 citation
Computer Science · #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- Prophet: Conflict-Free Sharding Blockchain via Byzantine-Tolerant Deterministic Ordering
2023/04/17 by Zicong Hong, Song Guo, Hong, Zicong +13 · 1 citation
Computer Science · #Blockchain Technology Applications and Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences
- Remora: A Low-Latency DAG-Based BFT Through Optimistic Paths
2024/09/16 by Xiaohai Dai, Wei Li, Guanxiong Wang +5 · 2 citations
Engineering · Physics and Astronomy · #CCD and CMOS Imaging Sensors #Iterative Learning Control Systems #Advanced Optical Sensing Technologies
- Boosting Communication Efficiency of Federated Learning's Secure Aggregation
2024/05/02 by Niousha Nazemi, Nazemi, Niousha, Omid Tavallaie +7 · 1 citation
Computer Science · #Cryptography and Data Security #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Learning to Schedule Multi-Server Jobs with Fluctuated Processing Speeds
2022/04/09 by Hailiang Zhao, Zhao, Hailiang, Shuiguang Deng +9 · 1 citation
Computer Science · #Age of Information Optimization #Cloud Computing and Resource Management #Distributed #FOS: Computer and information sciences #IoT and Edge/Fog Computing #Parallel #and Cluster Computing (cs.DC)
- AutoRank: MCDA Based Rank Personalization for LoRA-Enabled Distributed Learning
2024/12/20 by Shuaijun Chen, Omid Tavallaie, Chen, Shuaijun +7 · 1 citation
Engineering · Computer Science · #Robotics and Automated Systems #Context-Aware Activity Recognition Systems
- SpecBox: Speculative Sandbox Scheduling for Efficient LLM Agent Serving
2026/07/27 by Yihui Zhang, Tianyu Wo, Jinghao Wang +7
Computer Science · #cs.DC #cs.AI #cs.LG #cs.PF