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Addressing modern and practical challenges in machine learning: A survey
  of online federated and transfer learning

Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning

7 February 2022
Shuang Dai
Fanlin Meng
    FedML
    OnRL
ArXivPDFHTML

Papers citing "Addressing modern and practical challenges in machine learning: A survey of online federated and transfer learning"

7 / 7 papers shown
Title
Federated Online and Bandit Convex Optimization
Federated Online and Bandit Convex Optimization
Kumar Kshitij Patel
Lingxiao Wang
Aadirupa Saha
Nathan Srebro
FedML
41
8
0
29 Nov 2023
A Communication-Efficient Adaptive Algorithm for Federated Learning
  under Cumulative Regret
A Communication-Efficient Adaptive Algorithm for Federated Learning under Cumulative Regret
Sudeep Salgia
Qing Zhao
T. Gabay
Kobi Cohen
FedML
22
10
0
21 Jan 2023
Federated Learning for Data Streams
Federated Learning for Data Streams
Othmane Marfoq
Giovanni Neglia
Laetitia Kameni
Richard Vidal
FedML
16
11
0
04 Jan 2023
A Survey on Distributed Online Optimization and Game
A Survey on Distributed Online Optimization and Game
Xiuxian Li
Lihua Xie
Na Li
OffRL
11
4
0
01 May 2022
Towards Personalized Federated Learning
Towards Personalized Federated Learning
A. Tan
Han Yu
Li-zhen Cui
Qiang Yang
FedML
AI4CE
183
840
0
01 Mar 2021
Survey of Personalization Techniques for Federated Learning
Survey of Personalization Techniques for Federated Learning
V. Kulkarni
Milind Kulkarni
Aniruddha Pant
FedML
171
324
0
19 Mar 2020
Optimal Distributed Online Prediction using Mini-Batches
Optimal Distributed Online Prediction using Mini-Batches
O. Dekel
Ran Gilad-Bachrach
Ohad Shamir
Lin Xiao
166
683
0
07 Dec 2010
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