Cover Image

Developing Elementary Federated Learning Algorithms Leveraging the ChatGPT

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Popovic, Miroslav, Popovic, Marko, Kastelan, Ivan, Djukic, Miodrag, Basicevic, Ilija
Format:	Preprint
Published:	2023
Subjects:	Distributed, Parallel, and Cluster Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MicroPython Testbed for Federated Learning Algorithms
by: Popovic, Miroslav, et al.
Published: (2024)

Towards Formal Verification of Federated Learning Orchestration Protocols on Satellites
by: Popovic, Miroslav, et al.
Published: (2024)

Generic Algorithm for Universal TDM Communication Over Inter Satellite Links
by: Popovic, Miroslav, et al.
Published: (2025)

Formal Verification of a Generic Algorithm for TDM Communication Over Inter Satellite Links
by: Popovic, Miroslav, et al.
Published: (2025)

Translating Federated Learning Algorithms in Python into CSP Processes Using ChatGPT
by: Popovic, Miroslav, et al.
Published: (2025)

Fast Transaction Scheduling in Blockchain Sharding
by: Adhikari, Ramesh, et al.
Published: (2024)

On the Efficiency of Dynamic Transaction Scheduling in Blockchain Sharding
by: Adhikari, Ramesh, et al.
Published: (2025)

Federated Isolation Forest for Efficient Anomaly Detection on Edge IoT Systems
by: Vasiljevic, Pavle, et al.
Published: (2025)

Large Language Models to the Rescue: Reducing the Complexity in Scientific Workflow Development Using ChatGPT
by: Sänger, Mario, et al.
Published: (2023)

FedSZ: Leveraging Error-Bounded Lossy Compression for Federated Learning Communications
by: Wilkins, Grant, et al.
Published: (2023)

Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future
by: Puppala, Sai, et al.
Published: (2024)

Proof-of-concept: Using ChatGPT to Translate and Modernize an Earth System Model from Fortran to Python/JAX
by: Zhou, Anthony, et al.
Published: (2024)

Inference Load-Aware Orchestration for Hierarchical Federated Learning
by: Lackinger, Anna, et al.
Published: (2024)

Evaluation Framework for Centralized and Decentralized Aggregation Algorithm in Federated Systems
by: Chongder, Sumit
Published: (2025)

Herring: Parallel Batch-Order-Fairness on DAG-based Blockchain Consensus
by: Putnik, Marko, et al.
Published: (2026)

GPT-FL: Generative Pre-trained Model-Assisted Federated Learning
by: Zhang, Tuo, et al.
Published: (2023)

FedZero: Leveraging Renewable Excess Energy in Federated Learning
by: Wiesner, Philipp, et al.
Published: (2023)

Federated Learning for Terahertz Wireless Communication
by: Baydas, O. Tansel, et al.
Published: (2025)

OpenFLAME: A Federated Spatial Naming Infrastructure
by: Bharadwaj, Sagar, et al.
Published: (2024)

A Privacy-Preserving Ecosystem for Developing Machine Learning Algorithms Using Patient Data: Insights from the TUM.ai Makeathon
by: Süwer, Simon, et al.
Published: (2025)

Practical Federated Learning without a Server
by: Dhasade, Akash, et al.
Published: (2025)

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

Task queue implementation for edge computing platform
by: Maksimovic, Veljko, et al.
Published: (2024)

FedFisher: Leveraging Fisher Information for One-Shot Federated Learning
by: Jhunjhunwala, Divyansh, et al.
Published: (2024)

Leveraging Foundation Models for Multi-modal Federated Learning with Incomplete Modality
by: Che, Liwei, et al.
Published: (2024)

BagChain: A Dual-functional Blockchain Leveraging Bagging-based Distributed Learning
by: Cui, Zixiang, et al.
Published: (2025)

Advancing Hybrid Defense for Byzantine Attacks in Federated Learning
by: Yue, Kai, et al.
Published: (2024)

Understanding Communication Backends in Cross-Silo Federated Learning
by: Ziashahabi, Amir, et al.
Published: (2026)

Evolving Topics in Federated Learning: Trends, and Emerging Directions for IS
by: Uddin, Md Raihan, et al.
Published: (2024)

Generative Federated Learning for Smart Prediction and Recommendation Applications
by: Mukherjee, Anwesha, et al.
Published: (2025)

FedFQ: Federated Learning with Fine-Grained Quantization
by: Li, Haowei, et al.
Published: (2024)

FOGNITE: Federated Learning-Enhanced Fog-Cloud Architecture
by: Sobati-M, Somayeh
Published: (2025)

Energy Efficient Federated Learning with Hyperdimensional Computing (HDC)
by: Ding, Yahao, et al.
Published: (2026)

Federated Learning Using Coupled Tensor Train Decomposition
by: Zhang, Xiangtao, et al.
Published: (2024)

Totoro$^+$: An Adaptive and Scalable Edge Federated Learning System
by: Ching, Cheng-Wei, et al.
Published: (2026)

Leveraging Foundation Models for Efficient Federated Learning in Resource-restricted Edge Networks
by: Atapour, S. Kawa, et al.
Published: (2024)

An Efficient Subspace Algorithm for Federated Learning on Heterogeneous Data
by: Zhang, Jiaojiao, et al.
Published: (2025)

A Seesaw Model Attack Algorithm for Distributed Learning
by: Yang, Kun, et al.
Published: (2024)

BouquetFL: Emulating diverse participant hardware in Federated Learning
by: Geimer, Arno
Published: (2026)

FedOptimus: Optimizing Vertical Federated Learning for Scalability and Efficiency
by: Shrivastava, Nikita, et al.
Published: (2025)