Scheduling In-Band Network Telemetry With Convergence-Preserving Federated Learning

Author:

Jin Yibo1ORCID,Jiao Lei2ORCID,Ji Mingtao1ORCID,Qian Zhuzhong1ORCID,Zhang Sheng1ORCID,Chen Ning1ORCID,Lu Sanglu1

Affiliation:

1. Department of Computer Science and Technology, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China

2. Department of Computer Science, University of Oregon, Eugene, OR, USA

Funder

National Natural Science Foundation of China

China University Industry Research Innovation Foundation

Fundamental Research Funds for the Central Universities

Collaborative Innovation Center of Novel Software Technology and Industrialization

U.S. National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Computer Science Applications,Software

Reference55 articles.

1. Federated learning: Strategies for improving communication efficiency;kone?ný;arXiv 1610 05492,2016

2. Adaptive Federated Learning in Resource Constrained Edge Computing Systems

3. NetView: Towards on-demand network-wide telemetry in the data center

4. PINT

5. CLARINET: Wan-aware optimization for analytics queries;viswanathan;Proceedings of the 5th USENIX Symposium on Operating Systems Design and Implementation (OSDI),2016

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