FADAS: Towards Federated Adaptive Asynchronous Optimization

25 July 2024

Papers citing "FADAS: Towards Federated Adaptive Asynchronous Optimization"

6 / 6 papers shown

Title
Convergence Analysis of Asynchronous Federated Learning with Gradient Compression for Non-Convex Optimization Diying Yang Yingwei Hou Danyang Xiao Weigang Wu FedML 34 0 0 28 Apr 2025
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data Hao Sun Li Shen Shi-Yong Chen Jingwei Sun Jing Li Guangzhong Sun Dacheng Tao FedML 20 1 0 18 Sep 2023
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein Tahseen Rabbani Evana Wang Amrit Singh Bedi Furong Huang FedML 47 17 0 25 Oct 2022
Unbounded Gradients in Federated Learning with Buffered Asynchronous Aggregation Taha Toghani César A. Uribe FedML 35 14 0 03 Oct 2022
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 758 0 28 Sep 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,943 0 20 Apr 2018