Fast Federated Learning in the Presence of Arbitrary Device
Unavailability

Fast Federated Learning in the Presence of Arbitrary Device Unavailability

8 June 2021

Kaixuan Huang

Papers citing "Fast Federated Learning in the Presence of Arbitrary Device Unavailability"

14 / 14 papers shown

Title
HSplitLoRA: A Heterogeneous Split Parameter-Efficient Fine-Tuning Framework for Large Language Models Zheng Lin Yuxin Zhang Zhe Chen Zihan Fang Xianhao Chen Praneeth Vepakomma Wei Ni Jun-Jie Luo Yue Gao MoE 34 2 0 05 May 2025
Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated Learning Haoran Zhang Zejun Gong Zekai Li Marie Siew Carlee Joe-Wong Rachid El-Azouzi 28 0 0 07 Apr 2025
Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 56 0 0 01 Mar 2025
Orthogonal Calibration for Asynchronous Federated Learning Jiayun Zhang Shuheng Li Haiyu Huang Xiaofan Yu Rajesh K. Gupta Jingbo Shang FedML 58 0 0 21 Feb 2025
Federated and Transfer Learning for Cancer Detection Based on Image Analysis Amine Bechar Y. Elmir Yassine Himeur Rafik Medjoudj Abbes Amira MedIm 29 4 0 30 May 2024
Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang Pei-Yuan Qiu Prashant Khanduri Minghong Fang Jia Liu FedML 36 1 0 04 May 2024
Federated Gradient Matching Pursuit Halyun Jeong Deanna Needell Jing Qin FedML 35 1 0 20 Feb 2023
FedGS: Federated Graph-based Sampling with Arbitrary Client Availability Z. Wang Xiaoliang Fan Jianzhong Qi Haibing Jin Peizhen Yang Siqi Shen Cheng-i Wang FedML 25 12 0 25 Nov 2022
Semi-Decentralized Federated Learning with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 34 32 0 23 May 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 30 15 0 07 Apr 2022
Federated Minimax Optimization: Improved Convergence Analyses and Algorithms Pranay Sharma Rohan Panda Gauri Joshi P. Varshney FedML 19 46 0 09 Mar 2022
Robust Federated Learning with Connectivity Failures: A Semi-Decentralized Framework with Collaborative Relaying M. Yemini R. Saha Emre Ozfatura Deniz Gündüz Andrea J. Goldsmith FedML 37 8 0 24 Feb 2022
Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization Jake B. Perazzone Shiqiang Wang Mingyue Ji Kevin S. Chan FedML 19 71 0 19 Jan 2022
Straggler-Resilient Federated Learning: Leveraging the Interplay Between Statistical Accuracy and System Heterogeneity Amirhossein Reisizadeh Isidoros Tziotis Hamed Hassani Aryan Mokhtari Ramtin Pedarsani FedML 162 98 0 28 Dec 2020