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F. Lin

7 papers hereh-index 6248 citations15 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author5
  • middle author1

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.LG5
  • cond-mat.str-el1
  • cs.NI1
same name
  • F. Lin — 37 papers, h 34
  • F. Lin — 36 papers, h 63
  • F. Lin — 25 papers, h 26
  • F. Lin — 12 papers
  • F. Lin — 9 papers, h 10
  • F. Lin — 9 papers, h 43

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedInduction of Large Magnetic Anisotropy Energy and Formation of Multiple Dirac States in SrIrO3​ Films: Role of correlation and spin-orbit coupling

4 citations · 4 across the 6 of their papers we have counts for

collaborators
Showing 2021Show all

3 papers · 1 filter

cond-mat.str-el2021★ 4 cited

Induction of Large Magnetic Anisotropy Energy and Formation of Multiple Dirac States in SrIrO3​ Films: Role of correlation and spin-orbit coupling

Amit Chauhan, B. R. K. Nanda

The 5d transition metal oxides, in particular iridates, host novel electronic and magnetic phases due to the interplay between onsite Coulomb repulsion (U) and spin-orbit coupl…

cs.LG2021

Federated Learning Beyond the Star: Local D2D Model Consensus with Global Cluster Sampling

Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam +2

Federated learning has emerged as a popular technique for distributing model training across the network edge. Its learning architecture is conventionally a star topology between t…

cs.LG2021

Semi-Decentralized Federated Learning with Cooperative D2D Local Model Aggregations

Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam +2

Federated learning has emerged as a popular technique for distributing machine learning (ML) model training across the wireless edge. In this paper, we propose two timescale hybrid…

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