DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency
for Federated Learning with Static and Streaming Dataset

DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset

20 October 2023

Carlee Joe-Wong

Xu Chen

Papers citing "DYNAMITE: Dynamic Interplay of Mini-Batch Size and Aggregation Frequency for Federated Learning with Static and Streaming Dataset"

8 / 8 papers shown

Title
TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction Weijie Liu Ziwei Zhan Carlee Joe-Wong Edith Ngai Jingpu Duan Deke Guo Xu Chen X. Zhang FedML 53 0 0 24 Apr 2025
Using Diffusion Models as Generative Replay in Continual Federated Learning -- What will Happen? Yongsheng Mei Liangqi Yuan Dong-Jun Han Kevin S. Chan Christopher G. Brinton Tian-Shing Lan 36 0 0 10 Nov 2024
Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach Chung-Hsuan Hu Zheng Chen Erik G. Larsson 31 2 0 20 May 2024
Optimal Batch Allocation for Wireless Federated Learning Jaeyoung Song Sang-Woon Jeon 26 0 0 03 Apr 2024
SignSGD with Federated Voting Chanho Park H. Vincent Poor Namyoon Lee FedML 33 1 0 25 Mar 2024
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 157 760 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 144 1,685 0 14 Apr 2018
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition Hamed Karimi J. Nutini Mark W. Schmidt 119 1,198 0 16 Aug 2016