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Paper Citation Record · LEDGER

Lightweight Federated Learning with Differential Privacy and Straggler Resilience

As of 23 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2412.06120.

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

pith.paper-citation-record.v1
2412.06120 v2

Coverage vector

measured 25 of 25 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:04:51.673819Z

measured 25 of 25 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

25 of 25 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved1
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c30ea56c-d520-4736-9b21-946612ad662c · outbound

This paper cites iDLG: Improved Deep Leakage from Gradients.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience iDLG: Improved Deep Leakage from Gradients

Reference 1

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no resolver link, observed 2026-08-11T20:04:51.556545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9bb6ee48-d1be-4518-8870-a8ee051b23af · outbound

This paper cites Protect privacy from gradient leakage attack in federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Protect privacy from gradient leakage attack in federated learning,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 50122b5d-2b1f-4876-b574-108398505e8d · outbound

This paper cites The algorithmic foundations of differential pri- vacy,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience The algorithmic foundations of differential pri- vacy,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 6ba18327-f6a7-4190-9e96-8383e920a9a0 · outbound

This paper cites Deep learning with differential privacy,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Deep learning with differential privacy,

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.572462Z digest=sha256:de624037031b09a7dcca91973391e204808b932641e4996f0fb3047b11c8380d

Observation 22354d70-96f9-4ccf-a9e9-87e7f4017e05 · outbound

This paper cites Federated learning with differential privacy: Algorithms and performance analysis,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Federated learning with differential privacy: Algorithms and performance analysis,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.577366Z digest=sha256:d4f8dc38a07e8afa937b7d721e36eb5f7ebf933feffda1bd383bc07a9605523c

Observation 3d267bca-0665-43a3-97da-dac5b6fb931f · outbound

This paper cites PrivateFL: Accurate, differentially private federated learning via personalized data transfor- mation,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience PrivateFL: Accurate, differentially private federated learning via personalized data transfor- mation,

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.582588Z digest=sha256:fe538a85c6c8e31ca9193f95bece823c661b112acb11138986a7d432d159d386

Observation 30370bc4-7af3-46cb-a048-2d6e911e1c01 · outbound

This paper cites More than enough is too much: Adaptive defenses against gradient leakage in production federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience More than enough is too much: Adaptive defenses against gradient leakage in production federated learning,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.588180Z digest=sha256:7c2ea89821ae9e01aefd1e8017dbce0ddd2f5e6c884bcf10b52d4b925ecccd80

Observation c176b135-f295-441b-8da8-d7413aa59cd0 · outbound

This paper cites SwiftAgg+: Achieving asymptotically optimal communication loads in secure ag- gregation for federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience SwiftAgg+: Achieving asymptotically optimal communication loads in secure ag- gregation for federated learning,

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.592960Z digest=sha256:185eae9b32d8a85a3cad839f724ed85b1ed53bfe06741aa3e86c55e142d204ed

Observation 6620c238-5d54-48d9-940a-325ba4461b3f · outbound

This paper cites SM- PAI: Secure multi-party computation for federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience SM- PAI: Secure multi-party computation for federated learning,

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.597653Z digest=sha256:e19add189564fd9a1ef97d88365775104b2ddee35c9e638b495798dd31d9ed0b

Observation 36711a45-81a7-4786-be99-e79101917efa · outbound

This paper cites Practical secure aggregation for privacy-preserving machine learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Practical secure aggregation for privacy-preserving machine learning,

Reference 10

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 56cebbc2-40ab-4563-b0ff-e0e54f904abb · outbound

This paper cites Efficient public-key cryptosystems prov- ably secure against active adversaries,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Efficient public-key cryptosystems prov- ably secure against active adversaries,

Reference 11

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.607596Z digest=sha256:7c0a89c6d811e75b4054a41963aa5fa133dcab57363e2879d38eea8fd42c1d36

Observation 4ceb7e25-0236-489a-8810-4274cd26e135 · outbound

This paper cites A generalisation, a simplification and some applications of paillier’s probabilistic public-key system,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience A generalisation, a simplification and some applications of paillier’s probabilistic public-key system,

Reference 12

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.612521Z digest=sha256:c977f1babadacde5b9a491d8a61b1b32ec633e96668bf08e598b8b88daf11b89

Observation 8cfada13-3a1f-4d15-a04d-19dc4dbc3f97 · outbound

This paper cites Dordis: Efficient federated learning with dropout-resilient differential privacy,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Dordis: Efficient federated learning with dropout-resilient differential privacy,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 17b940db-85e6-4da2-8db5-ab1211f34b43 · outbound

This paper cites A hybrid approach to privacy-preserving federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience A hybrid approach to privacy-preserving federated learning,

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 2507f38d-536b-4a13-99d8-1eb8f8ff1a63 · outbound

This paper cites Efficient distributed keys generation of threshold paillier cryptosystem,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Efficient distributed keys generation of threshold paillier cryptosystem,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 00c36ed6-9a74-408b-a4dd-509f07f2974e · outbound

This paper cites LightSecAgg: a lightweight and versatile design for secure aggregation in federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience LightSecAgg: a lightweight and versatile design for secure aggregation in federated learning,

Reference 16

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 35ba7ed2-7fd3-4aaf-bc89-133a32d95800 · outbound

This paper cites The distributed discrete gaussian mechanism for federated learning with secure aggregation,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience The distributed discrete gaussian mechanism for federated learning with secure aggregation,

Reference 17

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.635417Z digest=sha256:b238b4a49746eac81442f410329366fb0d82545356ed69fb50444a437ae77101

Observation 996ec448-b945-430c-a5bd-9e799a8db703 · outbound

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

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Communication-efficient learning of deep networks from decentralized data,

Reference 18

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation ec9815de-0557-4d64-a890-07a0237b179d · outbound

This paper cites Federated optimization in heterogeneous networks,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Federated optimization in heterogeneous networks,

Reference 19

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.644360Z digest=sha256:b9d09a8bf27f36920b5af34dabe343264c2aea8b81042dd0a641848c570530e6

Observation 7d10caf2-e2db-4d58-90ab-f34d7d3b8336 · outbound

This paper cites Scaffold: Stochastic controlled averaging for federated learn- ing,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Scaffold: Stochastic controlled averaging for federated learn- ing,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 5dc42125-8135-410a-be43-1d9d603f77d2 · outbound

This paper cites Research on diffie-hellman key exchange protocol,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Research on diffie-hellman key exchange protocol,

Reference 21

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.654061Z digest=sha256:45c84496180b94c0e9da586c40daf27a1006c5a9a1bd2c3206aeeae3041293ab

Observation ac8890a0-45e8-44f5-af4c-ab4368582d09 · outbound

This paper cites Adaptive transmission scheduling in wire- less networks for asynchronous federated learning,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Adaptive transmission scheduling in wire- less networks for asynchronous federated learning,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.658540Z digest=sha256:e60ad58f4b09c94882df654e5ebd46023477fd956c6c646b3beb4608f9258224

Observation dbb06460-b99e-4e98-b78f-5f4f1984cb19 · outbound

This paper cites Fast federated learning in the presence of arbitrary device unavailability,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Fast federated learning in the presence of arbitrary device unavailability,

Reference 23

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 76a28ca3-5446-4a24-bcb4-d4f88d771f9e · outbound

This paper cites The cifar-10 dataset.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience The cifar-10 dataset

Reference 24

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-11T20:04:51.667961Z digest=sha256:7681208746e53f8ca8131d6c3f0e528382e50b420f66541afb358d0e865c8e7a

Observation d0cecb0d-412a-4415-875e-a73927bd348a · outbound

This paper cites Deep residual learning for image recognition,.

Lightweight Federated Learning with Differential Privacy and Straggler Resilience Deep residual learning for image recognition,

Reference 25

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Pith citing papers

No inbound Pith citation observations are available.