AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices

8 January 2023

Papers citing "AnycostFL: Efficient On-Demand Federated Learning over Heterogeneous Edge Devices"

6 / 6 papers shown

Title
Heterogeneity-aware Personalized Federated Learning via Adaptive Dual-Agent Reinforcement Learning Xi Chen Qin Li Haibin Cai Ting Wang 49 0 0 28 Jan 2025
Federated learning compression designed for lightweight communications Lucas Grativol Ribeiro Mathieu Léonardon Guillaume Muller Virginie Fresse Matthieu Arzel FedML 25 3 0 23 Oct 2023
Joint Superposition Coding and Training for Federated Learning over Multi-Width Neural Networks Hankyul Baek Won Joon Yun Yunseok Kwak Soyi Jung Mingyue Ji M. Bennis Jihong Park Joongheon Kim FedML 66 21 0 05 Dec 2021
Bandwidth Allocation for Multiple Federated Learning Services in Wireless Edge Networks Jie Xu Heqiang Wang Lixing Chen FedML 56 43 0 10 Jan 2021
Device Sampling for Heterogeneous Federated Learning: Theory, Algorithms, and Implementation Su Wang Mengyuan Lee Seyyedali Hosseinalipour Roberto Morabito M. Chiang Christopher G. Brinton FedML 77 110 0 04 Jan 2021
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 162 760 0 28 Sep 2019