How Can We Train Deep Learning Models Across Clouds and Continents? An Experimental Study
Fuente:
arXiv
Saved in:
| Main Authors: | Erben, Alexander, Mayer, Ruben, Jacobsen, Hans-Arno |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
by: Woisetschläger, Herbert, et al.
Published: (2023)
by: Woisetschläger, Herbert, et al.
Published: (2023)
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
by: Woisetschläger, Herbert, et al.
Published: (2023)
by: Woisetschläger, Herbert, et al.
Published: (2023)
Opportunistic Scheduling for Optimal Spot Instance Savings in the Cloud
by: Bhuyan, Neelkamal, et al.
Published: (2026)
by: Bhuyan, Neelkamal, et al.
Published: (2026)
Exploiting Spot Instances for Time-Critical Cloud Workloads Using Optimal Randomized Strategies
by: Bhuyan, Neelkamal, et al.
Published: (2026)
by: Bhuyan, Neelkamal, et al.
Published: (2026)
Swing: Short-cutting Rings for Higher Bandwidth Allreduce
by: De Sensi, Daniele, et al.
Published: (2024)
by: De Sensi, Daniele, et al.
Published: (2024)
Designing Scalable Rate Limiting Systems: Algorithms, Architecture, and Distributed Solutions
by: Guan, Bo
Published: (2026)
by: Guan, Bo
Published: (2026)
Scheduling the Unschedulable: Taming Black-Box LLM Inference at Scale
by: Yuan, Renzhong, et al.
Published: (2026)
by: Yuan, Renzhong, et al.
Published: (2026)
How Machine Learning-Data Driven Replication Strategies Enhance Fault Tolerance in Large-Scale Distributed Systems
by: Murimi, Almond Kiruthu
Published: (2025)
by: Murimi, Almond Kiruthu
Published: (2025)
Directives for Function Offloading in 5G Networks Based on a Performance Characteristics Analysis
by: Dettinger, Falk, et al.
Published: (2025)
by: Dettinger, Falk, et al.
Published: (2025)
A Framework for testing Federated Learning algorithms using an edge-like environment
by: Schwanck, Felipe Machado, et al.
Published: (2024)
by: Schwanck, Felipe Machado, et al.
Published: (2024)
Cognitive Infrastructure: A Unified DCIM Framework for AI Data Centers
by: Sunkara, Krishna Chaitanya
Published: (2026)
by: Sunkara, Krishna Chaitanya
Published: (2026)
Moonshot: Optimizing Chain-Based Rotating Leader BFT via Optimistic Proposals
by: Doidge, Isaac, et al.
Published: (2024)
by: Doidge, Isaac, et al.
Published: (2024)
A Survey on Heterogeneous Computing Using SmartNICs and Emerging Data Processing Units
by: Tibbetts, Nathan, et al.
Published: (2025)
by: Tibbetts, Nathan, et al.
Published: (2025)
Konnektor: Connection Protocol for Ensuring Peer Uniqueness in Decentralized P2P Networks
by: Ozkan, Onur
Published: (2024)
by: Ozkan, Onur
Published: (2024)
Exploring GPU-to-GPU Communication: Insights into Supercomputer Interconnects
by: De Sensi, Daniele, et al.
Published: (2024)
by: De Sensi, Daniele, et al.
Published: (2024)
Impact of Network Topology on Byzantine Resilience in Decentralized Federated Learning
by: Bhattacharya, Siddhartha, et al.
Published: (2024)
by: Bhattacharya, Siddhartha, et al.
Published: (2024)
ABACUS: A FinOps Service for Cloud Cost Optimization
by: Deochake, Saurabh
Published: (2024)
by: Deochake, Saurabh
Published: (2024)
Nezha: Deployable and High-Performance Consensus Using Synchronized Clocks
by: Geng, Jinkun, et al.
Published: (2022)
by: Geng, Jinkun, et al.
Published: (2022)
Heuristic Search Space Partitioning for Low-Latency Multi-Tenant Cloud Queries
by: Pathak, Prashant Kumar, et al.
Published: (2026)
by: Pathak, Prashant Kumar, et al.
Published: (2026)
Towards Policy-Enabled Multi-Hop Routing for Cross-Chain Message Delivery
by: Rezaei, Amin, et al.
Published: (2026)
by: Rezaei, Amin, et al.
Published: (2026)
Towards Message Brokers for Generative AI: Survey, Challenges, and Opportunities
by: Saleh, Alaa, et al.
Published: (2023)
by: Saleh, Alaa, et al.
Published: (2023)
Deterministic and Reliable Software-Defined Vehicles: key building blocks, challenges, and vision
by: Teixeira, Pedro Veloso, et al.
Published: (2024)
by: Teixeira, Pedro Veloso, et al.
Published: (2024)
Complex Event Processing in the Edge: A Combined Optimization Approach for Data and Code Placement
by: Uyanık, Halit, et al.
Published: (2026)
by: Uyanık, Halit, et al.
Published: (2026)
Accelerating Geo-distributed Machine Learning with Network-Aware Adaptive Tree and Auxiliary Route
by: Li, Zonghang, et al.
Published: (2024)
by: Li, Zonghang, et al.
Published: (2024)
HFedATM: Hierarchical Federated Domain Generalization via Optimal Transport and Regularized Mean Aggregation
by: Nguyen, Thinh, et al.
Published: (2025)
by: Nguyen, Thinh, et al.
Published: (2025)
Cost-Aware Logging: Measuring the Financial Impact of Excessive Log Retention in Small-Scale Cloud Deployments
by: Putra, Jody Almaida
Published: (2026)
by: Putra, Jody Almaida
Published: (2026)
Tetris: An SLA-aware Application Placement Strategy in the Edge-Cloud Continuum
by: Almeida, Lucas, et al.
Published: (2025)
by: Almeida, Lucas, et al.
Published: (2025)
AMP4EC: Adaptive Model Partitioning Framework for Efficient Deep Learning Inference in Edge Computing Environments
by: Zhang, Guilin, et al.
Published: (2025)
by: Zhang, Guilin, et al.
Published: (2025)
Operational Memory Architecture for Kubernetes:Preserving Causal Context Across the Evidence Horizon
by: Khan, Shamsher
Published: (2026)
by: Khan, Shamsher
Published: (2026)
Security Analysis of Bitcoin's V2 Transport Protocol: Exploiting Design Implications for Sustained Eclipse and Downgrade Attacks
by: Ndolo, Charmaine, et al.
Published: (2026)
by: Ndolo, Charmaine, et al.
Published: (2026)
TAGC: Optimizing Gradient Communication in Distributed Transformer Training
by: Polyakov, Igor, et al.
Published: (2025)
by: Polyakov, Igor, et al.
Published: (2025)
Collective Communication for 100k+ GPUs
by: Si, Min, et al.
Published: (2025)
by: Si, Min, et al.
Published: (2025)
Experimentally Evaluating the Resource Efficiency of Big Data Autoscaling
by: Will, Jonathan, et al.
Published: (2025)
by: Will, Jonathan, et al.
Published: (2025)
FCDP: Fully Cached Data Parallel for Communication-Avoiding Large-Scale Training
by: Park, Gyeongseo, et al.
Published: (2026)
by: Park, Gyeongseo, et al.
Published: (2026)
Libra: Unleashing GPU Heterogeneity for High-Performance Sparse Matrix Multiplication
by: Shi, Jinliang, et al.
Published: (2025)
by: Shi, Jinliang, et al.
Published: (2025)
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks
by: Dong, Fan, et al.
Published: (2023)
by: Dong, Fan, et al.
Published: (2023)
Adaptive GPU Resource Allocation for Multi-Agent Collaborative Reasoning in Serverless Environments
by: Zhang, Guilin, et al.
Published: (2025)
by: Zhang, Guilin, et al.
Published: (2025)
Cloud Uptime Archive: Open-Access Availability Data of Web, Cloud, and Gaming Services
by: Talluri, Sacheendra, et al.
Published: (2025)
by: Talluri, Sacheendra, et al.
Published: (2025)
Self-Adaptive Probabilistic Skyline Query Processing in Distributed Edge Computing via Deep Reinforcement Learning
by: Lai, Chuan-Chi
Published: (2026)
by: Lai, Chuan-Chi
Published: (2026)
Reexamining Paradigms of End-to-End Data Movement
by: Fang, Chin, et al.
Published: (2025)
by: Fang, Chin, et al.
Published: (2025)
Similar Items
-
Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly
by: Woisetschläger, Herbert, et al.
Published: (2023) -
FLEdge: Benchmarking Federated Machine Learning Applications in Edge Computing Systems
by: Woisetschläger, Herbert, et al.
Published: (2023) -
Opportunistic Scheduling for Optimal Spot Instance Savings in the Cloud
by: Bhuyan, Neelkamal, et al.
Published: (2026) -
Exploiting Spot Instances for Time-Critical Cloud Workloads Using Optimal Randomized Strategies
by: Bhuyan, Neelkamal, et al.
Published: (2026) -
Swing: Short-cutting Rings for Higher Bandwidth Allreduce
by: De Sensi, Daniele, et al.
Published: (2024)