Editorial Portal · JIPCET-2026-0040

Latency-Aware Scheduling for Federated Learning Clients

Dr. Marcus Reed · Computing & Software · Original Research · submitted 2 September 2026

Under Review

Initial AI Screening

JIPCET-2026-0040
Scope88 / 100
Completeness91 / 100
Methodology signal84 / 100
Reference concerns 1 flagsPotential overlap 0 flags

Clearly within scope. Methodology is well specified. One reference could not be resolved automatically and should be checked by the handling editor.

Editor's Action

AI provides screening signals only. The final editorial decision is made by the responsible human editor.

Reviewer Recommendations

AI suggested · editor selects
  • 95% expertise match
  • 91% expertise match
  • 71% expertise match
  • 66% expertise match
  • 64% expertise match
2 selected · two reviewers required

Peer Review

0 returned

Reviewer 1

Pending

Due 4 October 2026 · Dr. Nathan Lim

Reviewer 2

Pending

Due 11 October 2026 · Dr. Kenneth Ito

AI Synthesis of Reviews

No submitted reviews yet. AI synthesis becomes available once reviews are returned.

This synthesis summarises returned reviews. It carries no recommendation and no weight in the decision.

Editorial Decision

D. Paxton

Abstract

A scheduling policy that accounts for client latency distribution improves federated convergence without additional communication rounds.

Back to dashboard ↗