HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients

3 October 2020

Papers citing "HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients"

27 / 77 papers shown

Title
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning Daoyuan Chen Dawei Gao Weirui Kuang Yaliang Li Bolin Ding FedML 30 63 0 08 Jun 2022
FEL: High Capacity Learning for Recommendation and Ranking via Federated Ensemble Learning Meisam Hejazinia Dzmitry Huba Ilias Leontiadis Kiwan Maeng Mani Malek Luca Melis Ilya Mironov Milad Nasr Kaikai Wang Carole-Jean Wu FedML 9 5 0 07 Jun 2022
Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity Kiwan Maeng Haiyu Lu Luca Melis John Nguyen Michael G. Rabbat Carole-Jean Wu FedML 39 31 0 30 May 2022
DELTA: Diverse Client Sampling for Fasting Federated Learning Lung-Chuang Wang Yongxin Guo Tao R. Lin Xiaoying Tang FedML 23 22 0 27 May 2022
Decentralized Event-Triggered Federated Learning with Heterogeneous Communication Thresholds Shahryar Zehtabi Seyyedali Hosseinalipour Christopher G. Brinton FedML 34 15 0 07 Apr 2022
FedCos: A Scene-adaptive Federated Optimization Enhancement for Performance Improvement Hao Zhang Tingting Wu Siyao Cheng Jie Liu FedML 35 11 0 07 Apr 2022
Bitwidth Heterogeneous Federated Learning with Progressive Weight Dequantization Jaehong Yoon Geondo Park Wonyong Jeong Sung Ju Hwang FedML 24 19 0 23 Feb 2022
Federated Learning Challenges and Opportunities: An Outlook Jie Ding Eric W. Tramel Anit Kumar Sahu Shuang Wu Salman Avestimehr Tao Zhang FedML 33 55 0 01 Feb 2022
On the Convergence of Heterogeneous Federated Learning with Arbitrary Adaptive Online Model Pruning Hanhan Zhou Tian-Shing Lan Guru Venkataramani Wenbo Ding FedML 32 6 0 27 Jan 2022
Federated Learning with Heterogeneous Architectures using Graph HyperNetworks Or Litany Haggai Maron David Acuna Jan Kautz Gal Chechik Sanja Fidler FedML 38 24 0 20 Jan 2022
A Multi-agent Reinforcement Learning Approach for Efficient Client Selection in Federated Learning S. Zhang Jieyu Lin Qi Zhang 35 63 0 09 Jan 2022
FedBalancer: Data and Pace Control for Efficient Federated Learning on Heterogeneous Clients Jaemin Shin Yuanchun Li Yunxin Liu Sung-Ju Lee FedML 17 73 0 05 Jan 2022
SPIDER: Searching Personalized Neural Architecture for Federated Learning Erum Mushtaq Chaoyang He Jie Ding A. Avestimehr FedML 24 20 0 27 Dec 2021
Towards Federated Learning on Time-Evolving Heterogeneous Data Yongxin Guo Tao R. Lin Xiaoying Tang FedML 22 30 0 25 Dec 2021
DISTREAL: Distributed Resource-Aware Learning in Heterogeneous Systems Martin Rapp R. Khalili Kilian Pfeiffer J. Henkel 19 18 0 16 Dec 2021
Semantic-Aware Collaborative Deep Reinforcement Learning Over Wireless Cellular Networks Fatemeh Lotfi Omid Semiari Walid Saad 21 27 0 23 Nov 2021
Personalized Federated Learning through Local Memorization Othmane Marfoq Giovanni Neglia Laetitia Kameni Richard Vidal FedML 27 87 0 17 Nov 2021
Federated Learning for Internet of Things: Applications, Challenges, and Opportunities Tuo Zhang Lei Gao Chaoyang He Mi Zhang Bhaskar Krishnamachari Salman Avestimehr FedML 19 168 0 15 Nov 2021
Practical and Light-weight Secure Aggregation for Federated Submodel Learning Jamie Cui Cen Chen Tiandi Ye Li Wang FedML 31 2 0 02 Nov 2021
What Do We Mean by Generalization in Federated Learning? Honglin Yuan Warren Morningstar Lin Ning K. Singhal OOD FedML 41 71 0 27 Oct 2021
Federated Learning via Plurality Vote Kai Yue Richeng Jin Chau-Wai Wong H. Dai FedML 24 8 0 06 Oct 2021
Comfetch: Federated Learning of Large Networks on Constrained Clients via Sketching Tahseen Rabbani Brandon Yushan Feng Marco Bornstein Kyle Rui Sang Yifan Yang Arjun Rajkumar A. Varshney Furong Huang FedML 59 2 0 17 Sep 2021
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models Lan Zhang Dapeng Oliver Wu Xiaoyong Yuan FedML 38 47 0 08 Sep 2021
An Operator Splitting View of Federated Learning Saber Malekmohammadi K. Shaloudegi Zeou Hu Yaoliang Yu FedML 26 2 0 12 Aug 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 35 412 0 14 Mar 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020