Compositional federated learning: Applications in distributionally robust averaging and meta learning

21 June 2021

Papers citing "Compositional federated learning: Applications in distributionally robust averaging and meta learning"

8 / 8 papers shown

Title
FedDRO: Federated Compositional Optimization for Distributionally Robust Learning Prashant Khanduri Chengyin Li Rafi Ibn Sultan Yao Qiang Joerg Kliewer Dongxiao Zhu 32 0 0 21 Nov 2023
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation Davoud Ataee Tarzanagh Mingchen Li Pranay Sharma Samet Oymak 24 0 0 02 Jun 2023
FedGRec: Federated Graph Recommender System with Lazy Update of Latent Embeddings Junyi Li Heng-Chiao Huang FedML 15 6 0 25 Oct 2022
FedNest: Federated Bilevel, Minimax, and Compositional Optimization Davoud Ataee Tarzanagh Mingchen Li Christos Thrampoulidis Samet Oymak FedML 34 73 0 04 May 2022
Solving Stochastic Compositional Optimization is Nearly as Easy as Solving Stochastic Optimization Tianyi Chen Yuejiao Sun W. Yin 44 81 0 25 Aug 2020
Adaptive Personalized Federated Learning Yuyang Deng Mohammad Mahdi Kamani M. Mahdavi FedML 186 542 0 30 Mar 2020
Compositional ADAM: An Adaptive Compositional Solver Rasul Tutunov Minne Li Alexander I. Cowen-Rivers Jun Wang Haitham Bou-Ammar ODL 49 16 0 10 Feb 2020
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 243 11,659 0 09 Mar 2017