Systems Heterogeneity

Systems Heterogeneity is a phenomenon in federated learning characterized by the non-uniformity in computational resources, network conditions, and device availability across participating clients, which collectively impede synchronous and uniform system-level coordination.

67

Publications

4.9K

Citations

227

Authors

106

Institutions

Publications per year

2017–2026

44

Authors

227

  1. MX
    Mengwei Xu

    Beijing University of Posts and Telecommunications, China

    4 publications · 202 citations

    4

    h-index

  2. KB
    Kaigui Bian

    Peking University, China

    4 publications · 202 citations

    4

    h-index

  3. XL
    Xuanzhe Liu

    Peking University, China

    4 publications · 202 citations

    4

    h-index

  4. ZC
    Zhenpeng Chen

    Peking University, China

    3 publications · 186 citations

    3

    h-index

  5. CY
    Chengxu Yang

    Beijing University of Posts and Telecommunications, China

    3 publications · 186 citations

    3

    h-index

1–5 of 227

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 1.4K citations

    10

    h-index

  2. Europhysics Letters (EPL)

    3 publications · 54 citations

    3

    h-index

  3. Journal of Parallel and Distributed Computing

    3 publications · 157 citations

    3

    h-index

  4. Automatica

    2 publications · 447 citations

    2

    h-index

  5. IEEE Transactions on Mobile Computing

    TMCCI · 2 publications · 104 citations

    2

    h-index

1–5