Imagen de Portada

Fundamental Limits of Coded Polynomial Aggregation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zhong, Xi, Kliewer, Jörg, Ji, Mingyue
Formato:	Preprint
Publicado:	2026
Materias:	Information Theory Distributed, Parallel, and Cluster Computing
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Uncoded Download in Lagrange-Coded Elastic Computing with Straggler Tolerance
por: Zhong, Xi, et al.
Publicado: (2025)

Uncoded Storage Coded Transmission Elastic Computing with Straggler Tolerance in Heterogeneous Systems
por: Zhong, Xi, et al.
Publicado: (2024)

Dual-Lagrange Encoding for Storage and Download in Elastic Computing for Resilience
por: Zhong, Xi, et al.
Publicado: (2025)

Fundamental Limits of Hierarchical Secure Aggregation with Cyclic User Association
por: Zhang, Xiang, et al.
Publicado: (2025)

Multivariate Polynomial Codes for Efficient Matrix Chain Multiplication in Distributed Systems
por: Gómez-Vilardebò, Jesús
Publicado: (2026)

Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD
por: Wang, Jiayi, et al.
Publicado: (2020)

Monotone Erasure Codes
por: Bammert, Vivien, et al.
Publicado: (2026)

Variant Codes Based on A Special Polynomial Ring and Their Fast Computations
por: Yu, Leilei, et al.
Publicado: (2023)

Communication-Efficient Approximate Gradient Coding
por: Munim, Sifat, et al.
Publicado: (2026)

Wireless MapReduce Arrays for Coded Distributed Computing
por: Peter, Elizabath, et al.
Publicado: (2024)

Interactive Byzantine-Resilient Gradient Coding for General Data Assignments
por: Jain, Shreyas, et al.
Publicado: (2024)

Coded Data Rebalancing for Distributed Data Storage Systems with Cyclic Storage
por: Vaishya, Abhinav, et al.
Publicado: (2022)

Algebraic Geometry Codes for Distributed Matrix Multiplication Using Local Expansions
por: Li, Jiang, et al.
Publicado: (2024)

Coded Distributed Computing with Pre-set Assignments of Data and Output Functions
por: Wang, Yuhan, et al.
Publicado: (2022)

Coded Distributed (Batch) Matrix Multiplication over Galois Ring via RMFE
por: Kuang, Yi, et al.
Publicado: (2024)

A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging
por: Wang, Shiqiang, et al.
Publicado: (2023)

A Unified Analysis of Federated Learning with Arbitrary Client Participation
por: Wang, Shiqiang, et al.
Publicado: (2022)

Secure Communication in the Presence of an RIS-Enhanced Eavesdropper in MIMO Networks
por: Zhang, Gaoyuan, et al.
Publicado: (2025)

On Optimal Batch Size in Coded Computing
por: Saha, Swapnil, et al.
Publicado: (2025)

Byzantine Attacks in RIS-Enhanced Cooperative Spectrum Sensing: A Decision Fusion Perspective
por: Zhang, Gaoyuan, et al.
Publicado: (2025)

Private Aggregation for Byzantine-Resilient Heterogeneous Federated Learning
por: Egger, Maximilian, et al.
Publicado: (2025)

A New Theoretical Perspective on Data Heterogeneity in Federated Optimization
por: Wang, Jiayi, et al.
Publicado: (2024)

Straggler-Aware Coded Polynomial Aggregation
por: Zhong, Xi, et al.
Publicado: (2026)

Cross-Domain Federated Semantic Communication with Global Representation Alignment and Domain-Aware Aggregation
por: Nguyen, Loc X., et al.
Publicado: (2025)

Rate-Distortion Bounds for Heterogeneous Random Fields on Finite Lattices
por: Sinha, Sujata, et al.
Publicado: (2026)

Wireless Streamlet: A Spectrum-Aware and Cognitive Consensus Protocol for Edge IoT
por: Wang, Taotao, et al.
Publicado: (2026)

On the Extension of Private Distributed Matrix Multiplication Schemes to the Grid Partition
por: Hofmeister, Christoph, et al.
Publicado: (2026)

Digital Twin-Assisted In-Network and Edge Collaboration for Joint User Association, Task Offloading, and Resource Allocation in the Metaverse
por: Aliyu, Ibrahim, et al.
Publicado: (2026)

Distributed Linearly Separable Computation with Arbitrary Heterogeneous Data Assignment
por: Zhang, Ziting, et al.
Publicado: (2026)

Joint Offloading and Resource Allocation for Hybrid Cloud and Edge Computing in SAGINs: A Decision Assisted Hybrid Action Space Deep Reinforcement Learning Approach
por: Huang, Chong, et al.
Publicado: (2024)

Deep Learning Driven Buffer-Aided Cooperative Networks for B5G/6G: Challenges, Solutions, and Future Opportunities
por: Xu, Peng, et al.
Publicado: (2024)

FedMIL: Federated-Multiple Instance Learning for Video Analysis with Optimized DPP Scheduling
por: Bastola, Ashish, et al.
Publicado: (2024)

A General Framework for Augmenting Lossy Compressors with Topological Guarantees
por: Gorski, Nathaniel, et al.
Publicado: (2025)

Redundancy Management for Fast Service (Rates) in Edge Computing Systems
por: Peng, Pei, et al.
Publicado: (2023)

Perfect Multi-User Distributed Computing
por: Khalesi, Ali, et al.
Publicado: (2024)

Rate-limited Shuffling for Distributed Computing
por: Sasi, Shanuja, et al.
Publicado: (2024)

Towards Optimal Constellation Design for Digital Over-the-Air Computation
por: Razavikia, Saeed, et al.
Publicado: (2025)

Byzantine-Resilient Distributed Computation via Task Replication and Local Computations
por: Rajesh, Aayush, et al.
Publicado: (2025)

Double-Edge-Assisted Computation Offloading and Resource Allocation for Space-Air-Marine Integrated Networks
por: Wang, Zhen, et al.
Publicado: (2025)

On the Encoding Process in Decentralized Systems
por: Wang, Canran, et al.
Publicado: (2024)