Saved in:
| Main Authors: | Zhang, Xiangtao, Kofidis, Eleftherios, Zhu, Ce, Zhang, Le, Liu, Yipeng |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2403.02898 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025)
by: Liang, Yipeng, et al.
Published: (2025)
Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
PRISM: Processing-In-Memory Sparse MTTKRP for Tensor Decomposition Acceleration
by: Pacheco, Daniel, et al.
Published: (2026)
by: Pacheco, Daniel, et al.
Published: (2026)
Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
by: Zheng, Ce, et al.
Published: (2026)
by: Zheng, Ce, et al.
Published: (2026)
Anthemius: Efficient & Modular Block Assembly for Concurrent Execution
by: Neiheiser, Ray, et al.
Published: (2025)
by: Neiheiser, Ray, et al.
Published: (2025)
Federated Learning with Integrated Sensing, Communication, and Computation: Frameworks and Performance Analysis
by: Liang, Yipeng, et al.
Published: (2024)
by: Liang, Yipeng, et al.
Published: (2024)
Predictive Performance of Photonic SRAM-based In-Memory Computing for Tensor Decomposition
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
cuFastTuckerPlus: A Stochastic Parallel Sparse FastTucker Decomposition Using GPU Tensor Cores
by: Li, Zixuan, et al.
Published: (2024)
by: Li, Zixuan, et al.
Published: (2024)
BGTplanner: Maximizing Training Accuracy for Differentially Private Federated Recommenders via Strategic Privacy Budget Allocation
by: Zhang, Xianzhi, et al.
Published: (2024)
by: Zhang, Xianzhi, et al.
Published: (2024)
Synergistic Tensor and Pipeline Parallelism
by: Qi, Mengshi, et al.
Published: (2025)
by: Qi, Mengshi, et al.
Published: (2025)
AMPED: Accelerating MTTKRP for Billion-Scale Sparse Tensor Decomposition on Multiple GPUs
by: Wijeratne, Sasindu, et al.
Published: (2025)
by: Wijeratne, Sasindu, et al.
Published: (2025)
Bandwidth-Aware Network Topology Optimization for Decentralized Learning
by: Shen, Yipeng, et al.
Published: (2025)
by: Shen, Yipeng, et al.
Published: (2025)
Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
by: Xiao, Bingnan, et al.
Published: (2026)
by: Xiao, Bingnan, et al.
Published: (2026)
NeutronTP: Load-Balanced Distributed Full-Graph GNN Training with Tensor Parallelism
by: Ai, Xin, et al.
Published: (2024)
by: Ai, Xin, et al.
Published: (2024)
Federated k-Core Decomposition: A Secure Distributed Approach
by: Guo, Bin, et al.
Published: (2024)
by: Guo, Bin, et al.
Published: (2024)
HLoRA: Efficient Federated Learning System for LLM Heterogeneous Fine-Tuning
by: Liu, Qianli, et al.
Published: (2025)
by: Liu, Qianli, et al.
Published: (2025)
Personalized Federated Heat-Kernel Enhanced Multi-View Clustering via Advanced Tensor Decomposition Techniques
by: Sinaga, Kristina P.
Published: (2025)
by: Sinaga, Kristina P.
Published: (2025)
DFedSat: Communication-Efficient and Robust Decentralized Federated Learning for LEO Satellite Constellations
by: Yang, Minghao, et al.
Published: (2024)
by: Yang, Minghao, et al.
Published: (2024)
Recoverable Lock-Free Locks
by: Attiya, Hagit, et al.
Published: (2025)
by: Attiya, Hagit, et al.
Published: (2025)
Efficient GPU-Centered Singular Value Decomposition Using the Divide-and-Conquer Method
by: Liu, Shifang, et al.
Published: (2025)
by: Liu, Shifang, et al.
Published: (2025)
Sparse MTTKRP Acceleration for Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2024)
by: Wijeratne, Sasindu, et al.
Published: (2024)
ExClique: An Express Consensus Algorithm for High-Speed Transaction Process in Blockchains
by: Zhao, Chonghe, et al.
Published: (2025)
by: Zhao, Chonghe, et al.
Published: (2025)
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
by: Zhang, Chuanting, et al.
Published: (2025)
by: Zhang, Chuanting, et al.
Published: (2025)
Litmus: Fair Pricing for Serverless Computing
by: Pei, Qi, et al.
Published: (2024)
by: Pei, Qi, et al.
Published: (2024)
Oases: Efficient Large-Scale Model Training on Commodity Servers via Overlapped and Automated Tensor Model Parallelism
by: Li, Shengwei, et al.
Published: (2023)
by: Li, Shengwei, et al.
Published: (2023)
TT-Edge: A Hardware-Software Co-Design for Energy-Efficient Tensor-Train Decomposition on Edge AI
by: Kwak, Hyunseok, et al.
Published: (2025)
by: Kwak, Hyunseok, et al.
Published: (2025)
TACTFL: Temporal Contrastive Training for Multi-modal Federated Learning with Similarity-guided Model Aggregation
by: Sun, Guanxiong, et al.
Published: (2025)
by: Sun, Guanxiong, et al.
Published: (2025)
Gensor: A Graph-based Construction Tensor Compilation Method for Deep Learning
by: Liu, Hangda, et al.
Published: (2025)
by: Liu, Hangda, et al.
Published: (2025)
TensorHub: Scalable and Elastic Weight Transfer for LLM RL Training
by: Ye, Chenhao, et al.
Published: (2026)
by: Ye, Chenhao, et al.
Published: (2026)
CHIRON: Accelerating Node Synchronization without Security Trade-offs in Distributed Ledgers
by: Neiheiser, Ray, et al.
Published: (2024)
by: Neiheiser, Ray, et al.
Published: (2024)
High Performance Unstructured SpMM Computation Using Tensor Cores
by: Okanovic, Patrik, et al.
Published: (2024)
by: Okanovic, Patrik, et al.
Published: (2024)
TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training
by: Liu, Man, et al.
Published: (2026)
by: Liu, Man, et al.
Published: (2026)
Asynchronous Federated Learning Using Outdated Local Updates Over TDMA Channel
by: Song, Jaeyoung, et al.
Published: (2024)
by: Song, Jaeyoung, et al.
Published: (2024)
On Resilient and Efficient Linear Secure Aggregation in Hierarchical Federated Learning
by: Weng, Shudi, et al.
Published: (2026)
by: Weng, Shudi, et al.
Published: (2026)
One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning
by: Lan, Muhang, et al.
Published: (2025)
by: Lan, Muhang, et al.
Published: (2025)
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning
by: Zhao, Zhihui, et al.
Published: (2025)
by: Zhao, Zhihui, et al.
Published: (2025)
Optimizing Federated Learning in the Era of LLMs: Message Quantization and Streaming
by: Xu, Ziyue, et al.
Published: (2025)
by: Xu, Ziyue, et al.
Published: (2025)
Nitsum: Serving Tiered LLM Requests with Adaptive Tensor Parallelism
by: Srivatsa, Vikranth, et al.
Published: (2026)
by: Srivatsa, Vikranth, et al.
Published: (2026)
TensorSocket: Shared Data Loading for Deep Learning Training
by: Robroek, Ties, et al.
Published: (2024)
by: Robroek, Ties, et al.
Published: (2024)
DFPL: Decentralized Federated Prototype Learning Across Heterogeneous Data Distributions
by: Zhang, Hongliang, et al.
Published: (2025)
by: Zhang, Hongliang, et al.
Published: (2025)
Similar Items
-
Communication-and-Computation Efficient Split Federated Learning: Gradient Aggregation and Resource Management
by: Liang, Yipeng, et al.
Published: (2025) -
Accelerating Sparse MTTKRP for Small Tensor Decomposition on GPU
by: Wijeratne, Sasindu, et al.
Published: (2025) -
PRISM: Processing-In-Memory Sparse MTTKRP for Tensor Decomposition Acceleration
by: Pacheco, Daniel, et al.
Published: (2026) -
Clustering-Based User Selection in Federated Learning: Metadata Exploitation for 3GPP Networks
by: Zheng, Ce, et al.
Published: (2026) -
Anthemius: Efficient & Modular Block Assembly for Concurrent Execution
by: Neiheiser, Ray, et al.
Published: (2025)