Cover Image

DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yao, Xinyu, Bourgeois, Daniel, Jain, Abhinav, Tang, Yuxin, Yao, Jiawen, Ding, Zhimin, Silva, Arlei, Jermaine, Chris
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

TURNIP: A "Nondeterministic" GPU Runtime with CPU RAM Offload
by: Ding, Zhimin, et al.
Published: (2024)

Amortized Asynchronous Byzantine Reliable Broadcast with Optimal Resilience
by: Hu, Michael Yiqing, et al.
Published: (2026)

Lemonshark: Asynchronous DAG-BFT With Early Finality
by: Hu, Michael Yiqing, et al.
Published: (2026)

Exploration of Energy and Throughput Tradeoffs for Dataflow Networks
by: Karim, Abrarul, et al.
Published: (2026)

Asynchronous Fault-Tolerant Distributed Proper Coloring of Graphs
by: Balliu, Alkida, et al.
Published: (2024)

Mapping Gemma3 onto an Edge Dataflow Architecture
by: Du, Shouyu, et al.
Published: (2026)

EchoPFL: Asynchronous Personalized Federated Learning on Mobile Devices with On-Demand Staleness Control
by: Li, Xiaochen, et al.
Published: (2024)

An Asynchronous Many-Task Algorithm for Unstructured $S_{N}$ Transport on Shared Memory Systems
by: Elwood, Alex, et al.
Published: (2025)

The Renoir Dataflow Platform: Efficient Data Processing without Complexity
by: De Martini, Luca, et al.
Published: (2023)

Prioritized-MVBA: A New Approach to Design an Optimal Asynchronous Byzantine Agreement Protocol
by: Sony, Nasit S, et al.
Published: (2024)

Dataflow-Oriented Classification and Performance Analysis of GPU-Accelerated Homomorphic Encryption
by: Nozaki, Ai, et al.
Published: (2026)

DEEP: Edge-based Dataflow Processing with Hybrid Docker Hub and Regional Registries
by: Mehran, Narges, et al.
Published: (2025)

Styx: Transactional Stateful Functions on Streaming Dataflows
by: Psarakis, Kyriakos, et al.
Published: (2023)

Data-Locality-Aware Task Assignment and Scheduling for Distributed Job Executions
by: Zhao, Hailiang, et al.
Published: (2024)

Federated Semi-Supervised and Semi-Asynchronous Learning for Anomaly Detection in IoT Networks
by: Zhai, Wenbin, et al.
Published: (2023)

TileLoom: Automatic Dataflow Planning for Tile-Based Languages on Spatial Dataflow Accelerators
by: Li, Wei, et al.
Published: (2025)

FLARE: A Dataflow-Aware and Scalable Hardware Architecture for Neural-Hybrid Scientific Lossy Compression
by: Jia, Wenqi, et al.
Published: (2025)

CheckMate: Evaluating Checkpointing Protocols for Streaming Dataflows
by: Siachamis, George, et al.
Published: (2024)

Falcon: Advancing Asynchronous BFT Consensus for Lower Latency and Enhanced Throughput
by: Dai, Xiaohai, et al.
Published: (2025)

ACGraph: An Efficient Asynchronous Out-of-Core Graph Processing Framework
by: Chen, Dechuang, et al.
Published: (2025)

Towards the Distributed Large-scale k-NN Graph Construction by Graph Merge
by: Zhang, Cheng, et al.
Published: (2025)

Stateful Entities: Object-oriented Cloud Applications as Distributed Dataflows
by: Psarakis, Kyriakos, et al.
Published: (2021)

Asynchronous Checkpoint for Eventually Consistent Databases
by: Ravishankar, Raaghav, et al.
Published: (2025)

Asynchronous Latency and Fast Atomic Snapshot
by: Bezerra, João Paulo, et al.
Published: (2024)

Byzantine Consensus in the Random Asynchronous Model
by: Danezis, George, et al.
Published: (2025)

Device Scheduling and Assignment in Hierarchical Federated Learning for Internet of Things
by: Zhang, Tinghao, et al.
Published: (2024)

Spatiotemporal Traffic Prediction in Distributed Backend Systems via Graph Neural Networks
by: Qiu, Zhimin, et al.
Published: (2025)

Kitsune: Enabling Dataflow Execution on GPUs
by: Davies, Michael, et al.
Published: (2025)

Suki: Choreographed Distributed Dataflow in Rust
by: Laddad, Shadaj, et al.
Published: (2024)

Democratizing Scalable Cloud Applications: Transactional Stateful Functions on Streaming Dataflows
by: Psarakis, Kyriakos
Published: (2025)

PALE: Partially Asynchronous Agile Leader Election
by: Sidik, Bronislav, et al.
Published: (2018)

From Symmetric to Asymmetric Asynchronous Byzantine Consensus
by: Cachin, Christian, et al.
Published: (2020)

Asynchronous Secure Federated Learning with Byzantine aggregators
by: Del Pozzo, Antonella, et al.
Published: (2026)

DGNNFlow: A Streaming Dataflow Architecture for Real-Time Edge-based Dynamic GNN Inference in HL-LHC Trigger Systems
by: Maharaj, Davendra, et al.
Published: (2026)

Exploring System-Heterogeneous Federated Learning with Dynamic Model Selection
by: Yao, Dixi
Published: (2024)

Consensus Through Knot Discovery in Asynchronous Dynamic Networks
by: Bricker, Rachel, et al.
Published: (2024)

Optimal Uniform Circle Formation by Asynchronous Luminous Robots
by: Feletti, Caterina, et al.
Published: (2024)

AGILE: Lightweight and Efficient Asynchronous GPU-SSD Integration
by: Yang, Zhuoping, et al.
Published: (2025)

Examining MPI and its Extensions for Asynchronous Multithreaded Communication
by: Yan, Jiakun, et al.
Published: (2025)