Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization

20 December 2023

Papers citing "Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization"

7 / 7 papers shown

Title
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization Yang Jiao X. Wang Kai Yang AAML SILM 31 0 0 10 Apr 2025
Inference Load-Aware Orchestration for Hierarchical Federated Learning Anna Lackinger P. Frangoudis Ivan vCilić Alireza Furutanpey Ilir Murturi Ivana Podnar vZarko Schahram Dustdar FedML 26 4 0 23 Jul 2024
Federated Dropout -- A Simple Approach for Enabling Federated Learning on Resource Constrained Devices Dingzhu Wen Ki-Jun Jeon Kaibin Huang FedML 66 88 0 30 Sep 2021
Cost-Effective Federated Learning in Mobile Edge Networks Bing Luo Xiang Li Shiqiang Wang Jianwei Huang Leandros Tassiulas FedML 42 71 0 12 Sep 2021
Federated Learning in Unreliable and Resource-Constrained Cellular Wireless Networks M. Salehi E. Hossain FedML 41 81 0 09 Dec 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 756 0 28 Sep 2019
Adaptive Federated Learning in Resource Constrained Edge Computing Systems Shiqiang Wang Tiffany Tuor Theodoros Salonidis K. Leung C. Makaya T. He Kevin S. Chan 138 1,663 0 14 Apr 2018