Paper Citation Record · LEDGER

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget

As of 17 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.03385.

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

pith.paper-citation-record.v1
2412.03385 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:30:00.084818Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy24
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92f3aa18-c085-41ba-9bc9-1dc87cc149b0 · outbound

This paper cites Communication-Efficient Learning of Deep Networks from Decentralized Data.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Communication-Efficient Learning of Deep Networks from Decentralized Data

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:59.304902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4ccc655-a36a-42e7-a8f9-9dec8051eea1 · outbound

This paper cites Advances and open problems in federated learning,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Advances and open problems in federated learning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:03.644827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7955b8c3-aca4-479c-b1d9-20ac7edf849a · outbound

This paper cites Straggler-resilient federated learning: Leveraging the interplay between statistical accuracy and system heterogeneity,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Straggler-resilient federated learning: Leveraging the interplay between statistical accuracy and system heterogeneity,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:03.464742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4dbe8bc1-bbf4-4fe6-b275-4b88fc274074 · outbound

This paper cites Federated learning for internet of things: A comprehensive survey,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Federated learning for internet of things: A comprehensive survey,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:03.346950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 22cf1f23-1685-4595-a8f1-bdfb289349fe · outbound

This paper cites Client-edge-cloud hierarchical federated learning,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Client-edge-cloud hierarchical federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:03.191743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e60846d0-0cce-4d71-9eda-8e1619c5fc27 · outbound

This paper cites Delay-aware hierarchical federated learning,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Delay-aware hierarchical federated learning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:03.074749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a2f53f8-5ba9-4b9e-8521-9d5df28ac48d · outbound

This paper cites HED-FL: A hierarchical, energy efficient, and dynamic approach for edge federated learning,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget HED-FL: A hierarchical, energy efficient, and dynamic approach for edge federated learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.904154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f64b8711-93d8-44a8-a78b-c9495d1511f4 · outbound

This paper cites A communication-efficient hierarchical federated learn- ing framework via shaping data distribution at edge,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget A communication-efficient hierarchical federated learn- ing framework via shaping data distribution at edge,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.744738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 508c0d74-f5cc-4e47-894d-9c09229220d6 · outbound

This paper cites Federated learning on non-iid data: A survey,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Federated learning on non-iid data: A survey,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.607734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 614d69fc-0abc-4acc-a2ca-e9d034627ae0 · outbound

This paper cites Learning multiple layers of features from tiny images,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Learning multiple layers of features from tiny images,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.467354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b0e6ab4c-144f-401b-8384-03476ef3162b · outbound

This paper cites Client selection in federated learning: Principles, chal- lenges, and opportunities,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Client selection in federated learning: Principles, chal- lenges, and opportunities,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.343118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f5478d2e-f3a1-4476-b045-fe44b4cf9b16 · outbound

This paper cites Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Measuring the Effects of Non-Identical Data Distribution for Federated Visual Classification

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T22:29:59.554749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16147b45-a518-4978-97af-bf849101402d · outbound

This paper cites Adaptive federated optimization,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Adaptive federated optimization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.222022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ab688e1-2fc9-4b76-9e83-26dea7ba1ee7 · outbound

This paper cites Communication-efficient hierarchical federated learning for iot heterogeneous systems with imbalanced data,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Communication-efficient hierarchical federated learning for iot heterogeneous systems with imbalanced data,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.145002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfaf67b7-a850-4e23-a447-5199a3ad2930 · outbound

This paper cites Resource-efficient federated learning with hierarchical aggregation in edge computing,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Resource-efficient federated learning with hierarchical aggregation in edge computing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:02.015438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b401e3c-7b9e-46d7-9392-e090661a3cfa · outbound

This paper cites Robust and communication-efficient federated learning from non-i.i.d. data,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Robust and communication-efficient federated learning from non-i.i.d. data,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:01.899970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 11d93770-5dfd-466f-9e12-238ed8e1fd08 · outbound

This paper cites K3s - lightweight kubernetes,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget K3s - lightweight kubernetes,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:01.734815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8f8fca34-8266-4ac5-b55d-d6e94c86c4f2 · outbound

This paper cites Client selection in hierarchical federated learning,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Client selection in hierarchical federated learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:01.602355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ba74035b-e307-49aa-aba1-1a4acc64834c · outbound

This paper cites HierFedML: Aggregator placement and UE assignment for hierarchical federated learning in mobile edge computing,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget HierFedML: Aggregator placement and UE assignment for hierarchical federated learning in mobile edge computing,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:01.454931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4374ada3-3da5-4949-9e6d-dbcbd686b2c6 · outbound

This paper cites Hierarchical federated learning in wireless networks: Pruning tackles bandwidth scarcity and system heterogeneity,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Hierarchical federated learning in wireless networks: Pruning tackles bandwidth scarcity and system heterogeneity,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:01.284986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e60372e6-1d87-4500-a3c2-c524531518ca · outbound

This paper cites Hierarchical federated learning ACROSS hetero- geneous cellular networks,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Hierarchical federated learning ACROSS hetero- geneous cellular networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:01.134882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ee047a19-9a42-42fc-9b3d-3252faf4d4fa · outbound

This paper cites Inference load-aware orchestration for hierarchical federated learning,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Inference load-aware orchestration for hierarchical federated learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:00.973950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3e99802-0846-40c5-8619-1338add4494c · outbound

This paper cites Optimizing model dissemination for hierarchical clustering learning in edge computing,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Optimizing model dissemination for hierarchical clustering learning in edge computing,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:00.841785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0084d832-f2a3-4fb1-90cb-e2d28410c0a3 · outbound

This paper cites Accelerating federated learning with cluster construction and hierarchical aggregation,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Accelerating federated learning with cluster construction and hierarchical aggregation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:00.733574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 269488a9-a1a7-4377-9272-c5cc7e806778 · outbound

This paper cites Hiflash: Communication-efficient hierarchical federated learning with adaptive staleness control and heterogeneity-aware client- edge association,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Hiflash: Communication-efficient hierarchical federated learning with adaptive staleness control and heterogeneity-aware client- edge association,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:00.655253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7a91ce9e-c22b-42da-b403-4047e98d97b4 · outbound

This paper cites Optimizing hierarchical federated learning: A reinforce- ment learning approach,.

Reactive Orchestration for Hierarchical Federated Learning Under a Communication Cost Budget Optimizing hierarchical federated learning: A reinforce- ment learning approach,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:30:00.465488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.