Paper Citation Record · LEDGER

FedDuA: Doubly Adaptive Federated Learning

As of 20 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2505.11126.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.11126 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:08:32.005746Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

verified exact0
verified fuzzy5
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4c1d847a-3fe3-49ee-b5fa-a78d1f66e5d3 · outbound

This paper cites Here, we used the induction hypothesis for the first inequality and strong A.P.C.

FedDuA: Doubly Adaptive Federated Learning Here, we used the induction hypothesis for the first inequality and strong A.P.C

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:32.689560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3897b513-b23a-4303-ba74-93d60d7f17aa · outbound

This paper cites For ViT experiments, we use the architecture in omiita [2024].

FedDuA: Doubly Adaptive Federated Learning For ViT experiments, we use the architecture in omiita [2024]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:32.567068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d2bfdef-2419-4422-b68a-d063cf0d038c · outbound

This paper cites Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning.

FedDuA: Doubly Adaptive Federated Learning Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.755348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 869aec6d-66b4-41ec-b389-d6106151f47d · outbound

This paper cites an unresolved cited work.

FedDuA: Doubly Adaptive Federated Learning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T21:08:32.436389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 419e1ac8-63fe-4f48-8d6d-3881abae3617 · outbound

This paper cites Following Jhunjhunwala et al.

FedDuA: Doubly Adaptive Federated Learning Following Jhunjhunwala et al

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:32.522455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0c885b3e-3f75-4ab9-a40b-815c57796cdd · outbound

This paper cites an unresolved cited work.

FedDuA: Doubly Adaptive Federated Learning Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.819222Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4f377a4-e5a2-4f74-93ec-fbce25e14b15 · outbound

This paper cites The grid of ηg is{10−1,10−1/2,10 0,10 1/2,10 1} for Fe- dAvg(M) and SCAFFOLD, and{10−4,10−7/2,10−3,10−5/2,10−2} for FedOPT.

FedDuA: Doubly Adaptive Federated Learning The grid of ηg is{10−1,10−1/2,10 0,10 1/2,10 1} for Fe- dAvg(M) and SCAFFOLD, and{10−4,10−7/2,10−3,10−5/2,10−2} for FedOPT

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:32.471105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a12d9d04-898c-4bcd-a206-bdf10ea82341 · outbound

This paper cites A Study of Gradient Variance in Deep Learning.

FedDuA: Doubly Adaptive Federated Learning A Study of Gradient Variance in Deep Learning

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.743491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d51eed67-1594-417a-8e59-7c3251952ed8 · outbound

This paper cites Federated Learning: Strategies for Improving Communication Efficiency.

FedDuA: Doubly Adaptive Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.760417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b2655d3-6cb4-42fa-b850-f464848301f1 · outbound

This paper cites an unresolved cited work.

FedDuA: Doubly Adaptive Federated Learning Unresolved cited work

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.765003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 644d1b2d-28c6-4619-92f3-8ee3381158f4 · outbound

This paper cites LEAF: A Benchmark for Federated Settings.

FedDuA: Doubly Adaptive Federated Learning LEAF: A Benchmark for Federated Settings

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.693451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74036831-e091-4cb6-ab63-5550eddb0e13 · outbound

This paper cites On the Convergence of Local Descent Methods in Federated Learning.

FedDuA: Doubly Adaptive Federated Learning On the Convergence of Local Descent Methods in Federated Learning

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.749548Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7537558d-4c9b-4806-a2f4-a2a473760d6b · outbound

This paper cites Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates.

FedDuA: Doubly Adaptive Federated Learning Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.873346Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e8a267f-2fba-44cb-97f5-3405aae8e9a2 · outbound

This paper cites Bregman Voronoi Diagrams: Properties, Algorithms and Applications.

FedDuA: Doubly Adaptive Federated Learning Bregman Voronoi Diagrams: Properties, Algorithms and Applications

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.769199Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67e9cc38-cc3a-4810-ad1b-ab4c8bdb9d65 · outbound

This paper cites ForR 1, we have R1 = 1 M MX i=1 ⟨wt−w∗,∆t i⟩ = ηl M MX i=1 τ−1X k=0 ⟨wt−w∗,∇Fi(wt i,k)⟩.

FedDuA: Doubly Adaptive Federated Learning ForR 1, we have R1 = 1 M MX i=1 ⟨wt−w∗,∆t i⟩ = ηl M MX i=1 τ−1X k=0 ⟨wt−w∗,∇Fi(wt i,k)⟩

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:08:32.610447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8746da81-8c26-4e5c-be97-a699b2904265 · outbound

This paper cites Local Adaptivity in Federated Learning: Convergence and Consistency.

FedDuA: Doubly Adaptive Federated Learning Local Adaptivity in Federated Learning: Convergence and Consistency

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-15T21:08:31.850762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.