Saved in:
| Main Authors: | Tan, Qiao, Zhu, Feng, Zhang, Jingjing |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2301.08895 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Memory Efficient and Staleness Free Pipeline Parallel DNN Training Framework with Improved Convergence Speed
by: Dutta, Ankita, et al.
Published: (2025)
by: Dutta, Ankita, et al.
Published: (2025)
Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization
by: Li, Zhe, et al.
Published: (2025)
by: Li, Zhe, 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)
When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning
by: Basani, Advik Raj, et al.
Published: (2024)
by: Basani, Advik Raj, et al.
Published: (2024)
Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
by: Luo, Jiajun, et al.
Published: (2024)
by: Luo, Jiajun, et al.
Published: (2024)
FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
by: Ma, Jeffrey, et al.
Published: (2024)
by: Ma, Jeffrey, et al.
Published: (2024)
Unleashing Efficient Asynchronous RL Post-Training via Staleness-Constrained Rollout Coordination
by: Li, Haoyang, et al.
Published: (2026)
by: Li, Haoyang, et al.
Published: (2026)
EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
by: Li, Xiaochen, et al.
Published: (2024)
by: Li, Xiaochen, et al.
Published: (2024)
TiMePReSt: Time and Memory Efficient Pipeline Parallel DNN Training with Removed Staleness
by: Dutta, Ankita, et al.
Published: (2024)
by: Dutta, Ankita, et al.
Published: (2024)
Distributed Deep Learning using Stochastic Gradient Staleness
by: Pham, Viet Hoang, et al.
Published: (2025)
by: Pham, Viet Hoang, et al.
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)
Faster Convergence with Less Communication: Broadcast-Based Subgraph Sampling for Decentralized Learning over Wireless Networks
by: Herrera, Daniel Pérez, et al.
Published: (2024)
by: Herrera, Daniel Pérez, et al.
Published: (2024)
Tackling Intertwined Data and Device Heterogeneities in Federated Learning with Unlimited Staleness
by: Wang, Haoming, et al.
Published: (2023)
by: Wang, Haoming, et al.
Published: (2023)
MSPipe: Efficient Temporal GNN Training via Staleness-Aware Pipeline
by: Sheng, Guangming, et al.
Published: (2024)
by: Sheng, Guangming, et al.
Published: (2024)
Rise and Shine Efficiently! Tight Bounds for Adversarial Wake-up
by: Robinson, Peter, et al.
Published: (2024)
by: Robinson, Peter, et al.
Published: (2024)
ZCCL: Significantly Improving Collective Communication With Error-Bounded Lossy Compression
by: Huang, Jiajun, et al.
Published: (2025)
by: Huang, Jiajun, et al.
Published: (2025)
Minimmit: Fast Finality with Even Faster Blocks
by: Chou, Brendan Kobayashi, et al.
Published: (2025)
by: Chou, Brendan Kobayashi, et al.
Published: (2025)
Aggregating Funnels for Faster Fetch&Add and Queues
by: Roh, Younghun, et al.
Published: (2024)
by: Roh, Younghun, et al.
Published: (2024)
Communication Lower Bounds and Optimal Algorithms for Symmetric Matrix Computations
by: Daas, Hussam Al, et al.
Published: (2024)
by: Daas, Hussam Al, et al.
Published: (2024)
Communication Lower Bounds and Algorithms for Sketching with Random Dense Matrices
by: Daas, Hussam Al, et al.
Published: (2026)
by: Daas, Hussam Al, et al.
Published: (2026)
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
by: Ansaripour, Matin, et al.
Published: (2022)
by: Ansaripour, Matin, et al.
Published: (2022)
FedLog: Personalized Federated Classification with Less Communication and More Flexibility
by: Yu, Haolin, et al.
Published: (2024)
by: Yu, Haolin, et al.
Published: (2024)
Distributed Stochastic Gradient Descent with Staleness: A Stochastic Delay Differential Equation Based Framework
by: Yu, Siyuan, et al.
Published: (2024)
by: Yu, Siyuan, et al.
Published: (2024)
FedFetch: Faster Federated Learning with Adaptive Downstream Prefetching
by: Yan, Qifan, et al.
Published: (2025)
by: Yan, Qifan, et al.
Published: (2025)
Faster Parallel Triangular Maximally Filtered Graphs and Hierarchical Clustering
by: Raphael, Steven, et al.
Published: (2024)
by: Raphael, Steven, et al.
Published: (2024)
GPU Acceleration for Faster Evolutionary Spatial Cyclic Game Systems
by: Sinadjan, Louie
Published: (2025)
by: Sinadjan, Louie
Published: (2025)
Collaborative Text Editing with Eg-walker: Better, Faster, Smaller
by: Gentle, Joseph, et al.
Published: (2024)
by: Gentle, Joseph, et al.
Published: (2024)
FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)
by: Wilkins, Grant, et al.
Published: (2023)
Faster Distributed Inference-Only Recommender Systems via Bounded Lag Synchronous Collectives
by: Dichev, Kiril, et al.
Published: (2025)
by: Dichev, Kiril, et al.
Published: (2025)
More for Less: Integrating Capability-Predominant and Capacity-Predominant Computing
by: Zheng, Zhong, et al.
Published: (2025)
by: Zheng, Zhong, et al.
Published: (2025)
FUSCO: High-Performance Distributed Data Shuffling via Transformation-Communication Fusion
by: Zhu, Zhuoran, et al.
Published: (2025)
by: Zhu, Zhuoran, et al.
Published: (2025)
FunLess: Functions-as-a-Service for Private Edge Cloud Systems
by: De Palma, Giuseppe, et al.
Published: (2024)
by: De Palma, Giuseppe, et al.
Published: (2024)
NEMO: Faster Parallel Execution for Highly Contended Blockchain Workloads (Full version)
by: Ezard, François, et al.
Published: (2025)
by: Ezard, François, et al.
Published: (2025)
ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters
by: Farahani, Reza, et al.
Published: (2026)
by: Farahani, Reza, et al.
Published: (2026)
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient
by: Deng, Xiaoge, et al.
Published: (2021)
by: Deng, Xiaoge, et al.
Published: (2021)
Towards Single Slot Finality: Evaluating Consensus Mechanisms and Methods for Faster Ethereum Finality
by: Murr, Lincoln
Published: (2024)
by: Murr, Lincoln
Published: (2024)
Mitigating Staleness in Asynchronous Pipeline Parallelism via Basis Rotation
by: Jung, Hyunji, et al.
Published: (2026)
by: Jung, Hyunji, et al.
Published: (2026)
Towards Affordable, Adaptive and Automatic GNN Training on CPU-GPU Heterogeneous Platforms
by: Qiao, Tong, et al.
Published: (2025)
by: Qiao, Tong, et al.
Published: (2025)
An Accurate Beam-Tracking Algorithm with Adaptive Beam Reconstruction via UAV-BSs for Mobile Users
by: Zhang, Jing, et al.
Published: (2024)
by: Zhang, Jing, et al.
Published: (2024)
Fractional Payment Transactions: Executing Payment Transactions in Parallel with Less than f+1 Validations
by: Bazzi, Rida, et al.
Published: (2024)
by: Bazzi, Rida, et al.
Published: (2024)
Similar Items
-
Memory Efficient and Staleness Free Pipeline Parallel DNN Training Framework with Improved Convergence Speed
by: Dutta, Ankita, et al.
Published: (2025) -
Converge Faster, Talk Less: Hessian-Informed Federated Zeroth-Order Optimization
by: Li, Zhe, et al.
Published: (2025) -
Divergence-Based Adaptive Aggregation for Byzantine Robust Federated Learning
by: Xiao, Bingnan, et al.
Published: (2026) -
When Less is More: Achieving Faster Convergence in Distributed Edge Machine Learning
by: Basani, Advik Raj, et al.
Published: (2024) -
Staleness-Centric Optimizations for Parallel Diffusion MoE Inference
by: Luo, Jiajun, et al.
Published: (2024)