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Paper Citation Record · LEDGER

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning

As of 10 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 1 inbound Pith citation observation for arXiv:2508.01348.

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

pith.paper-citation-record.v1
2508.01348 v2

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:47:56.735505Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:18:24.570122Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:19:42.896172Z

Reference resolution

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy27
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c78506a1-6840-4e24-a2f0-8e8583a14269 · outbound

This paper cites Federated fine-tuning of large language models under heterogeneous tasks and client resources.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Federated fine-tuning of large language models under heterogeneous tasks and client resources

Reference 1

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no resolver link, observed 2026-08-06T05:47:56.538421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.538421Z digest=sha256:c7d75301ed9c069acdd9d57d57a36e795221711232ffdef261a472fa5754bf27

Observation a0df9259-8c09-4d2c-96fb-98dbade66184 · outbound

This paper cites Lora-fair: Federated lora fine-tuning with aggregation and initialization refinement.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Lora-fair: Federated lora fine-tuning with aggregation and initialization refinement

Reference 2

Resolution
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no resolver link, observed 2026-08-06T05:47:56.544327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.544327Z digest=sha256:d49ca67363849ad4be94855c90352b62c105f302e6d1c5d82f1dae19ef7e2f75

Observation f3160e16-6a2f-4807-a185-ec166e2cdaf5 · outbound

This paper cites Rbla: Rank-based-lora- aggregation for fine-tuning heterogeneous models in flaas.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Rbla: Rank-based-lora- aggregation for fine-tuning heterogeneous models in flaas

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.542487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.549302Z digest=sha256:8095b8ce96d78e769cc91976623ce4caf1cf8d7815dbc1db6c7c94e13579c227

Observation 609438dc-5e37-46ae-86a3-d759ad7e93a6 · outbound

This paper cites Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Robust Federated Finetuning of Foundation Models via Alternating Minimization of LoRA

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T05:47:56.554990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.554990Z digest=sha256:7f4195c5fc85cbf33eee6a265bb1204ab5f214df15add7c4c5765c63f09ffb84

Observation c494ebd4-5806-4b47-be2e-b4c1c6d98354 · outbound

This paper cites Heterogeneous loRA for federated fine-tuning of on-device foundation models.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Heterogeneous loRA for federated fine-tuning of on-device foundation models

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.525800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.560474Z digest=sha256:8c95d485901eda44201da2d1031f9e6a3e61dc59ecb25d568d52e01c577c62f2

Observation 26bf6e6a-8b14-4102-9f92-cb041df2455d · outbound

This paper cites Heterogeneous LoRA for federated fine-tuning of on-device foundation models.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Heterogeneous LoRA for federated fine-tuning of on-device foundation models

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.509184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.566251Z digest=sha256:2427ab0edc282c52f915fe60ae0ac6153844c7b46901e9cb242c2fbbd5e67861

Observation ee13f809-9db9-4f6c-a58a-01993efee744 · outbound

This paper cites Client selection in federated learning: Convergence analysis and power-of-choice selection strategies, 2021.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Client selection in federated learning: Convergence analysis and power-of-choice selection strategies, 2021

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.491599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.571911Z digest=sha256:e97b81b8f361040641837ef0ca65b5c910755697c2cbb7ac8799a07f40bf61c8

Observation f792c96c-2598-4e95-9e5a-753ed4cedc27 · outbound

This paper cites an unresolved cited work.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Unresolved cited work

Reference 8

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raw_fallback, observed 2026-08-06T05:47:57.476433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.576674Z digest=sha256:c0c813204be11ec3899344948d37d835ac35cf71d9a0e037b996189f4b908577

Observation 361c65d7-fb1d-4abe-add5-b5b40c8914dd · outbound

This paper cites Qlora: Efficient finetun- ing of quantized llms.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Qlora: Efficient finetun- ing of quantized llms

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.461339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.581255Z digest=sha256:ce57e91d94cee25b2a39e0b9a069bc2107b1e27792f3389c31ed5dded6952e02

Observation 666da9f1-f5f5-46d3-9cb9-83dc9e54eaf2 · outbound

This paper cites Selec- tive aggregation for low-rank adaptation in federated learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Selec- tive aggregation for low-rank adaptation in federated learning

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.444751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.585928Z digest=sha256:bc3bd2a32dc975db1d000aec6567f7dffcb0f36c31abb209a8631842821db6bf

Observation 2f93896c-d75e-4885-940d-f44497ffc84b · outbound

This paper cites Universal language model fine-tuning for text classification.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Universal language model fine-tuning for text classification

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.428896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.590714Z digest=sha256:056f8546655f1d27b57364ae6825bad92e43954649b6c69e374b91bbbca88d52

Observation 9f237cb5-b137-46fe-acd4-23b8a364cced · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Lora: Low-rank adaptation of large language models

Reference 12

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no resolver link, observed 2026-08-06T05:47:56.595812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.595812Z digest=sha256:a23325c4d77d34203e0311d829172700792d57f761ac4488c31c9b9db0f1726e

Observation 6cffdcdf-b7fb-4548-8656-53794b009361 · outbound

This paper cites LoRA: Low-rank adaptation of large language models.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning LoRA: Low-rank adaptation of large language models

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.400666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.600547Z digest=sha256:d928839eb602f6b7193cecb7e1775bc5529cc2537ba9cff5a8631525394df157

Observation 50b8b63d-3d73-4f38-baaf-81b362eb4eea · outbound

This paper cites Ad- vances and open problems in federated learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Ad- vances and open problems in federated learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.384354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.606221Z digest=sha256:3c9386563303b3ee7dbbad5624cc89aa51abbf93135e8cce87de6ff8eca9dc4f

Observation 4cd22d68-9393-4139-aa26-eb02c8a4c06e · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Scaffold: Stochastic controlled averaging for federated learning

Reference 15

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no resolver link, observed 2026-08-06T05:47:56.611049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.611049Z digest=sha256:c18ee20036cf7acc9546c0b908d01582af9b44a42fc5253b9c03ada2e641bc2b

Observation af55c0f8-0d7e-4871-b261-3b6c1ab41b21 · outbound

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

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Federated Learning: Strategies for Improving Communication Efficiency

Reference 16

Resolution
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no resolver link, observed 2026-08-06T05:47:56.615573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.615573Z digest=sha256:0772d0b380426d2d09e89ba15e1f78c0872bf1131fa9a02ec4ee0fe530e58767

Observation b74397d3-6cb8-49b5-bb40-6ec54faa6a7c · outbound

This paper cites Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Towards Robust and Efficient Federated Low-Rank Adaptation with Heterogeneous Clients

Reference 17

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local_arxiv, observed 2026-08-06T05:47:56.959254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.621702Z digest=sha256:79485b2616ffea7c456d2cb96499a4d3ea1e97953c3a153189441984021ef306

Observation b8e89bf3-3927-4855-a051-83a94c2878ef · outbound

This paper cites Model-contrastive federated learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Model-contrastive federated learning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.356266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.626696Z digest=sha256:f1915be162ae65da9718094af98641058e4c5a5c292698db6c1508064320d633

Observation 2dcf233e-aa07-462f-93f8-8e6f3b8e5b42 · outbound

This paper cites Federated optimization in heterogeneous networks.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Federated optimization in heterogeneous networks

Reference 19

Resolution
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raw_fallback, observed 2026-08-06T05:47:57.339067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.631336Z digest=sha256:4ccda9e8be815200eb1615acef3244776bbda577c2c93cb79f4e01057aca4da3

Observation 07e25422-cd57-4386-a73f-0f480fa60ff2 · outbound

This paper cites Fair Resource Allocation in Federated Learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Fair Resource Allocation in Federated Learning

Reference 20

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no resolver link, observed 2026-08-06T05:47:56.636449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.636449Z digest=sha256:31f1326c5778f095e7af561aeae5f8e459b0ab22e0d20574ade3738dc5abdc89

Observation aef2e9db-e199-43b3-851e-671366bc3a96 · outbound

This paper cites On the convergence of fedavg on non-iid data.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning On the convergence of fedavg on non-iid data

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.322625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.641963Z digest=sha256:c2675d2a66755e6fe0402773fe5897e561ab1e4dd9a594cb1dda4eb858d1b238

Observation 25e2b6e0-b61a-4bbe-8bab-675d42ecbca5 · outbound

This paper cites A kernel-based view of language model fine-tuning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning A kernel-based view of language model fine-tuning

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.306765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.647002Z digest=sha256:d331f42fb46861a1946421d0458f5c9d8c3ad4ec54b06b9860fcfacb7fb754ea

Observation e93e0289-e1e7-4150-b547-3f7aa5634958 · outbound

This paper cites Communication-efficient learning of deep networks from decentralized data.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Communication-efficient learning of deep networks from decentralized data

Reference 23

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raw_fallback, observed 2026-08-06T05:47:57.291496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.652832Z digest=sha256:b49bd6b381b54ba444e95b6bbad72ebe4ce11ab157e7e2cafaa71eb6197ae2bb

Observation fa5cc73d-ed73-4172-8600-c59d6407b823 · outbound

This paper cites Le, and Kok-Seng Wong.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Le, and Kok-Seng Wong

Reference 24

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raw_fallback, observed 2026-08-06T05:47:57.274824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.657398Z digest=sha256:ff37b32e8a3fc1de3b66b8009ac554fe7aac3db5f949cfac635fd3e986a94a5a

Observation 17044be4-177d-49c1-900c-c64de2551799 · outbound

This paper cites Fedinc: One-shot federated tuning for collaborative incident recognition.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Fedinc: One-shot federated tuning for collaborative incident recognition

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.256655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.662277Z digest=sha256:1f705d8d6b97662a831eefbcd43d0156268b737a49363b2f0807ef8c49b6ae2d

Observation f00c1785-feea-4a34-94a2-9c6406041a18 · outbound

This paper cites Fedex-loRA: Exact aggregation for federated and efficient fine-tuning of foundation models, 2024.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Fedex-loRA: Exact aggregation for federated and efficient fine-tuning of foundation models, 2024

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.240514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.667368Z digest=sha256:15e291d2f46f0a34758a28482e181da2e6c2448c4a180439f2c0fb62e133c066

Observation 3281cb17-acb8-4707-a1a3-5bfe4818b50f · outbound

This paper cites Federated multi-task learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Federated multi-task learning

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.222851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.672257Z digest=sha256:73f926b795d6938c7b7842cc3aac0da24807b307e829b6ae41bf283d27d70e28

Observation 803b1846-1c78-4e1b-a02f-b06ea8b1bd6c · outbound

This paper cites Improving loRA in privacy-preserving feder- ated learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Improving loRA in privacy-preserving feder- ated learning

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.205645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.677494Z digest=sha256:ed69d9c020c626c079beca5a3611d3c4e6b5150892f23d31ad125722d1e469b6

Observation a5446568-700e-4a82-9fb1-af009a370ed4 · outbound

This paper cites Tackling the objective inconsistency problem in heterogeneous federated optimization.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Tackling the objective inconsistency problem in heterogeneous federated optimization

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.189462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.682178Z digest=sha256:5b899709cd26843da3dab69122934f20390b7dad0925cb45d8a5b19587cca218

Observation 06396e97-a4e3-44d3-aa96-bfc54709c9b3 · outbound

This paper cites FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning FLoRA: Federated fine-tuning large language models with heterogeneous low-rank adaptations

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T05:47:56.687160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.687160Z digest=sha256:6fda7a87fd5d670f84ff2e44ec54459bc7ecd139951f69e7c761fddf4cefa53e

Observation fefe2036-e6dd-4a40-a762-271d686820f8 · outbound

This paper cites FedloRA: When personalized federated learning meets low-rank adaptation, 2024.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning FedloRA: When personalized federated learning meets low-rank adaptation, 2024

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.162073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.691877Z digest=sha256:270b0b73b9f37aa84f594bed98365e649c20c6a8e3b51e13e80a852a49260f94

Observation cfd8f30d-385d-4481-b6bf-4a2d3aca23c8 · outbound

This paper cites QA-loRA: Quantization-aware low-rank adaptation of large language models.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning QA-loRA: Quantization-aware low-rank adaptation of large language models

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.144355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.696735Z digest=sha256:ba9fc4fdf503340886e3d7a5173d5ef9ebe78c6be0854ed94690859748658323

Observation f64993d9-76fc-4ac4-94d7-43ee1c42f5d8 · outbound

This paper cites Federated low-rank adaptation for foundation models: A survey.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Federated low-rank adaptation for foundation models: A survey

Reference 33

Resolution
verified exact
raw_fallback, observed 2026-08-06T05:47:56.916439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.701818Z digest=sha256:07411fc943efbf9d4e145a1a12504ba6a6e9ae97584b51a665860f9ae0b89985

Observation 859e7550-2011-4ccb-abfd-d5861bb8a326 · outbound

This paper cites pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning pFedLoRA: Model-Heterogeneous Personalized Federated Learning with LoRA Tuning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T05:47:56.706388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:47:56.706388Z digest=sha256:26289688cbc09b551db238280afcff7ed8d20fcd00e616355fc2ae5a985794d9

Observation 8ec96469-1fd7-40a5-878c-e9e961de94fe · outbound

This paper cites Parallel restarted sgd with faster convergence and less communication: demystifying why model averaging works for deep learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Parallel restarted sgd with faster convergence and less communication: demystifying why model averaging works for deep learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.125053Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.711564Z digest=sha256:48c41b8dd062a4aab6ac8a5851df64da61f5dcccf7ca31be704cf0812d531839

Observation 49e73d16-a414-49e9-aa24-203b338ffd47 · outbound

This paper cites Towards building the federatedgpt: Federated instruction tuning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Towards building the federatedgpt: Federated instruction tuning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.108541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.716499Z digest=sha256:3aaff4533a7873135e281635632c5f344c323fc860202372c4556f32112f7528

Observation fcafc0e2-ac36-40d7-9461-46b862c2e540 · outbound

This paper cites Towards building the federatedgpt: Federated instruction tuning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Towards building the federatedgpt: Federated instruction tuning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.091240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.721174Z digest=sha256:1fe8287d67f3dfc70d2bb179eb089911e9024ec5d577c78fee773ee77f38d8ef

Observation 4c2f1428-d662-4ff4-96a9-95969a13ccdf · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Adaptive budget allocation for parameter-efficient fine-tuning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.074286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.725904Z digest=sha256:ba72ea321b8cdfc9fd93accb0f870625d910510a2edb30f0b4bd0599f7b2bca5

Observation dd429c33-9941-4a8c-8adf-59ef00812dbe · outbound

This paper cites AutoLoRA: Automatically tuning matrix ranks in low-rank adaptation based on meta learning.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning AutoLoRA: Automatically tuning matrix ranks in low-rank adaptation based on meta learning

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T05:47:57.055467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T05:47:56.730653Z digest=sha256:75c3a0dcb3e88cbf6122356c2bb46f5bb929ffd2e8bbe4ee724925b67c5a7f1d

Observation cd3e296d-2f0b-4bb3-a6ab-0e5076e73b25 · outbound

This paper cites Federated Learning with Non-IID Data.

Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning Federated Learning with Non-IID Data

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T05:47:56.735505Z

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source=pdf_text observed=2026-08-06T05:47:56.735505Z digest=sha256:293c3a3eaf2e2ad3c179449f2b8b1ec0ad9471b5d3eebf0363a72d2df8044189

Pith citing papers

Observation 67825d2e-f36b-4429-b8f5-cdbc44675256 · inbound

Subspace-Constrained Federated Learning with Low-Rank Adaptation cites this paper.

Subspace-Constrained Federated Learning with Low-Rank Adaptation Convergence Analysis of Aggregation-Broadcast in LoRA-enabled Distributed Fine-Tuning

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:19:42.898227Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T10:18:24.570122Z digest=sha256:4258f38addf8437b7358629d5b03f8bd72f40231ef75f7988c63f6cb8f397a00