:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Stanisic, Andrija, Nastic, Stefan
Format:	Preprint
Published:	2025
Subjects:	Distributed, Parallel, and Cluster Computing Artificial Intelligence
Online Access:	https://arxiv.org/abs/2511.08147
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Gaia: Hybrid Hardware Acceleration for Serverless AI in the 3D Compute Continuum
by: Reisecker, Maximilian, et al.
Published: (2025)

Databelt: A Continuous Data Path for Serverless Workflows in the 3D Compute Continuum
by: Marcelino, Cynthia, et al.
Published: (2025)

Cosmos: A Cost Model for Serverless Workflows in the 3D Compute Continuum
by: Marcelino, Cynthia, et al.
Published: (2025)

HyperDrive: Scheduling Serverless Functions in the Edge-Cloud-Space 3D Continuum
by: Pusztai, Thomas, et al.
Published: (2024)

Stardust: A Scalable and Extensible Simulator for the 3D Continuum
by: Pusztai, Thomas, et al.
Published: (2025)

Truffle: Efficient Data Passing for Data-Intensive Serverless Workflows in the Edge-Cloud Continuum
by: Marcelino, Cynthia, et al.
Published: (2024)

CWASI: A WebAssembly Runtime Shim for Inter-function Communication in the Serverless Edge-Cloud Continuum
by: Marcelino, Cynthia, et al.
Published: (2025)

Formal and Empirical Study of Metadata-Based Profiling for Resource Management in the Computing Continuum
by: Morichetta, Andrea, et al.
Published: (2025)

GoldFish: Serverless Actors with Short-Term Memory State for the Edge-Cloud Continuum
by: Marcelino, Cynthia, et al.
Published: (2024)

Assortment of Attention Heads: Accelerating Federated PEFT with Head Pruning and Strategic Client Selection
by: Venkatesha, Yeshwanth, et al.
Published: (2025)

Compass: Optimizing Compound AI Workflows for Dynamic Adaptation
by: Gravara, Milos, et al.
Published: (2026)

Efficient Client Selection in Federated Learning
by: Marfo, William, et al.
Published: (2025)

Lumos: Performance Characterization of WebAssembly as a Serverless Runtime in the Edge-Cloud Continuum
by: Marcelino, Cynthia, et al.
Published: (2025)

Roadrunner: Accelerating Data Delivery to WebAssembly-Based Serverless Functions
by: Marcelino, Cynthia, et al.
Published: (2025)

Optimizing Federated Learning by Entropy-Based Client Selection
by: Lutz, Andreas, et al.
Published: (2024)

Towards Scalable GPU-Accelerated SNN Training via Temporal Fusion
by: Li, Yanchen, et al.
Published: (2024)

Accelerating Large Language Model Training with Hybrid GPU-based Compression
by: Xu, Lang, et al.
Published: (2024)

Speeding up Local Optimization in Vehicle Routing with Tensor-based GPU Acceleration
by: Lei, Zhenyu, et al.
Published: (2025)

Trade-offs in Decentralized Agentic AI Discovery Across the Compute Continuum
by: Dazzi, Patrizio, et al.
Published: (2026)

PNCS:Power-Norm Cosine Similarity for Diverse Client Selection in Federated Learning
by: Li, Liangyan, et al.
Published: (2025)

Accelerated Digital Twin Learning for Edge AI: A Comparison of FPGA and Mobile GPU
by: Xu, Bin, et al.
Published: (2025)

Robust Synchronisation for Federated Learning in The Face of Correlated Device Failure
by: Behfar, Stefan, et al.
Published: (2026)

FedFiTS: Fitness-Selected, Slotted Client Scheduling for Trustworthy Federated Learning in Healthcare AI
by: Kahenga, Ferdinand, et al.
Published: (2025)

Federated Learning with Workload Reduction through Partial Training of Client Models and Entropy-Based Data Selection
by: Shi, Hongrui, et al.
Published: (2024)

FedLECC: Cluster- and Loss-Guided Client Selection for Federated Learning under Non-IID Data
by: Jimenez-Gutierrez, Daniel M., et al.
Published: (2026)

A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
by: Sun, Daran, et al.
Published: (2026)

GPU-Virt-Bench: A Comprehensive Benchmarking Framework for Software-Based GPU Virtualization Systems
by: VG, Jithin, et al.
Published: (2025)

A Green Multi-Attribute Client Selection for Over-The-Air Federated Learning: A Grey-Wolf-Optimizer Approach
by: Driss, Maryam Ben, et al.
Published: (2024)

GPU-Accelerated Selected Basis Diagonalization with Thrust for SQD-based Algorithms
by: Doi, Jun, et al.
Published: (2026)

MSCCL++: Rethinking GPU Communication Abstractions for AI Inference
by: Hwang, Changho, et al.
Published: (2025)

Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum
by: Li, Lanpei, et al.
Published: (2025)

UCCL-Zip: Lossless Compression Supercharged GPU Communication
by: Ma, Shuang, et al.
Published: (2026)

Power- and Fragmentation-aware Online Scheduling for GPU Datacenters
by: Lettich, Francesco, et al.
Published: (2024)

TinyServe: Query-Aware Cache Selection for Efficient LLM Serving
by: Liu, Dong, et al.
Published: (2025)

Beyond the GPU: The Strategic Role of FPGAs in the Next Wave of AI
by: Jiménez, Arturo Urías
Published: (2025)

Towards Adaptive Asynchronous Federated Learning for Human Activity Recognition
by: Gajanin, Rastko, et al.
Published: (2024)

Tangram: Accelerating Serverless LLM Loading through GPU Memory Reuse and Affinity
by: Zhu, Wenbin, et al.
Published: (2025)

SwizzlePerf: Hardware-Aware LLMs for GPU Kernel Performance Optimization
by: Tschand, Arya, et al.
Published: (2025)

An Efficient Heterogeneous Co-Design for Fine-Tuning on a Single GPU
by: Yang, Ruijia, et al.
Published: (2026)

FilFL: Client Filtering for Optimized Client Participation in Federated Learning
by: Fourati, Fares, et al.
Published: (2023)