Cover Image

Approximated Coded Computing: Towards Fast, Private and Secure Distributed Machine Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qiu, Houming, Zhu, Kun, Luong, Nguyen Cong, Niyato, Dusit
Format:	Preprint
Published:	2024
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Barycentric Coded Distributed Computing with Flexible Recovery Threshold for Collaborative Mobile Edge Computing
by: Qiu, Houming, et al.
Published: (2025)

Adaptive Verifiable Coded Computing: Towards Fast, Secure and Private Distributed Machine Learning
by: Tang, Tingting, et al.
Published: (2021)

Energy Efficient Federated Learning with Hyperdimensional Computing over Wireless Communication Networks
by: Ding, Yahao, et al.
Published: (2026)

Network Edge Inference for Large Language Models: Principles, Techniques, and Opportunities
by: Chen, Zhixiong, et al.
Published: (2026)

Knowledge-driven Reasoning for Mobile Agentic AI: Concepts, Approaches, and Directions
by: Liu, Guangyuan, et al.
Published: (2026)

Edge Association Strategies for Synthetic Data Empowered Hierarchical Federated Learning with Non-IID Data
by: Ng, Jer Shyuan, et al.
Published: (2025)

Performance and Security Aware Distributed Service Placement in Fog Computing
by: Goudarzi, Mohammad, et al.
Published: (2026)

The Complexity of Distributed Minimum Weight Cycle Approximation
by: Chang, Yi-Jun, et al.
Published: (2026)

Towards Fast Setup and High Throughput of GPU Serverless Computing
by: Zhao, Han, et al.
Published: (2024)

AMDP: Asynchronous Multi-Directional Pipeline Parallelism for Large-Scale Models Training
by: Chen, Ling, et al.
Published: (2026)

Toward Heterogeneous, Distributed, and Energy-Efficient Computing with SYCL
by: Cosenza, Biagio, et al.
Published: (2025)

Privacy-Preserving Coding Schemes for Multi-Access Distributed Computing Models
by: Sasi, Shanuja
Published: (2026)

Biased Compression in Gradient Coding for Distributed Learning
by: Li, Chengxi, et al.
Published: (2026)

Dual UAV Cluster-Assisted Maritime Physical Layer Secure Communications via Collaborative Beamforming
by: Huang, Jiawei, et al.
Published: (2024)

Distributionally Robust Optimization for Aerial Multi-access Edge Computing via Cooperation of UAVs and HAPs
by: Jia, Ziye, et al.
Published: (2025)

Performance of Distributed File Systems on Cloud Computing Environment: An Evaluation for Small-File Problem
by: Duong, Thanh, et al.
Published: (2023)

DWM-RO: Decentralized World Models with Reasoning Offloading for SWIPT-enabled Satellite-Terrestrial HetNets
by: Liu, Guangyuan, et al.
Published: (2025)

Unleashing the Power of Tree-of-Thoughts for Edge-Enabled AIGC Service Provisioning
by: Liu, Zhang, et al.
Published: (2026)

A Seesaw Model Attack Algorithm for Distributed Learning
by: Yang, Kun, et al.
Published: (2024)

TawPipe: Topology-Aware Weight Pipeline Parallelism for Accelerating Long-Context Large Models Training
by: Wu, Houming, et al.
Published: (2025)

Lightweight Federated Learning over Wireless Edge Networks
by: Hou, Xiangwang, et al.
Published: (2025)

Multi Armed Bandit Algorithms Based Virtual Machine Allocation Policy for Security in Multi-Tenant Distributed Systems
by: Patil, Pravin, et al.
Published: (2024)

Accelerating Distributed MoE Training and Inference with Lina
by: Li, Jiamin, et al.
Published: (2022)

Hyperdimensional Computing Empowered Federated Foundation Model over Wireless Networks for Metaverse
by: Ding, Yahao, et al.
Published: (2024)

DynaShard: Secure and Adaptive Blockchain Sharding Protocol with Hybrid Consensus and Dynamic Shard Management
by: Liu, Ao, et al.
Published: (2024)

Approximate Byzantine Fault-Tolerance in Distributed Optimization
by: Liu, Shuo, et al.
Published: (2021)

A High-throughput and Secure Coded Blockchain for IoT
by: Taherpour, Amirhossein, et al.
Published: (2023)

Federated Unlearning in Edge Networks: A Survey of Fundamentals, Challenges, Practical Applications and Future Directions
by: Ng, Jer Shyuan, et al.
Published: (2026)

CheckMate: LLM-Powered Approximate Intermittent Computing
by: Sayyid-Ali, Abdur-Rahman Ibrahim, et al.
Published: (2024)

EACO-RAG: Towards Distributed Tiered LLM Deployment using Edge-Assisted and Collaborative RAG with Adaptive Knowledge Update
by: Li, Jiaxing, et al.
Published: (2024)

Supervised Distributed Computing
by: Augustine, John, et al.
Published: (2025)

On-the-fly Communication-and-Computing to Enable Representation Learning for Distributed Point Clouds
by: Chen, Xu, et al.
Published: (2024)

Federated Customization of Large Models: Approaches, Experiments, and Insights
by: Ye, Yuchuan, et al.
Published: (2026)

Fast Iterative Graph Computing with Updated Neighbor States
by: Zhou, Yijie, et al.
Published: (2024)

NetSenseML: Network-Adaptive Compression for Efficient Distributed Machine Learning
by: Wang, Yisu, et al.
Published: (2025)

Code once, Run Green: Automated Green Code Translation in Serverless Computing
by: Werner, Sebastian, et al.
Published: (2025)

Distributed Computation with Local Advice
by: Balliu, Alkida, et al.
Published: (2024)

On Similarity of Computational Kernels in our Codes and Proxies
by: McKinsey, Michael, et al.
Published: (2026)

Towards a Scalable In Situ Fast Fourier Transform
by: Kulkarni, Sudhanshu, et al.
Published: (2024)

EinDecomp: Decomposition of Declaratively-Specified Machine Learning and Numerical Computations for Parallel Execution
by: Bourgeois, Daniel, et al.
Published: (2024)