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Paper Citation Record · LEDGER

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2506.23680.

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

pith.paper-citation-record.v1
2506.23680 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:51:20.351852Z

measured 47 of 47 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

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Reference resolution

47 of 47 outbound references displayed

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  • verified fuzzy32
  • unresolved13
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

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Outbound references

Observation 5727ea84-5af0-4c77-a4c0-3d71303d1326 · outbound

This paper cites Secure gradient aggregation for wireless multi-server federated learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Secure gradient aggregation for wireless multi-server federated learning,

Reference 1

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Observation 62d5eec2-6073-40bb-b144-76fbce2d946a · outbound

This paper cites Toward an intelligent edge: Wireless communication meets machine learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Toward an intelligent edge: Wireless communication meets machine learning,

Reference 2

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source=pdf_text observed=2026-08-06T21:51:16.794456Z digest=sha256:03d95bba11dfd3b5dca3dbbf4972635a28dca5a6a1f82c8a399e49a02c7c942f

Observation 0e8bb411-ce7d-4b7f-a230-5fc1df86ceb9 · outbound

This paper cites Communication- efficient edge ai: Algorithms and systems,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Communication- efficient edge ai: Algorithms and systems,

Reference 3

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source=pdf_text observed=2026-08-06T21:51:16.866809Z digest=sha256:d7112044f92323404ed1cf99715e25879d1b681577be642b2a5979da6925edc0

Observation 27780644-db28-4e73-a987-660dd3476c4f · outbound

This paper cites Task- oriented communications for 6g: Vision, principles, and technologies,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Task- oriented communications for 6g: Vision, principles, and technologies,

Reference 4

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:16.952472Z digest=sha256:eef7fd554c844a90ef76f5258c0279e035f049aa495132133952ab18d927d74b

Observation d8b346df-a5a4-4ec6-bcad-82c533792378 · outbound

This paper cites Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Edge artificial intelligence for 6g: Vision, enabling technologies, and applications,

Reference 5

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source=pdf_text observed=2026-08-06T21:51:17.018976Z digest=sha256:8164dad094a5d93a377dbba4e41cdc3e1a2daed79fd2c3e0e6a96ab74bc4ff4e

Observation dfcf2588-757b-4660-b448-d767deb90f74 · outbound

This paper cites Private retrieval, computing, and learning: Recent progress and future challenges,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Private retrieval, computing, and learning: Recent progress and future challenges,

Reference 6

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source=pdf_text observed=2026-08-06T21:51:17.096558Z digest=sha256:110e74e94b851ed56c560549c4f8840563f8ef5db0975ae095baa2231af66895

Observation f2fed4ab-f413-48a5-94f8-2ef0f19e16e6 · outbound

This paper cites Trusted ai in multiagent systems: An overview of privacy and security for distributed learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Trusted ai in multiagent systems: An overview of privacy and security for distributed learning,

Reference 7

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source=pdf_text observed=2026-08-06T21:51:17.189934Z digest=sha256:8f8b49d09f0318bfbc9c2a9391c46976bf889767d0edd0d88b3f51bed2db5003

Observation c29789a6-4a2e-4783-bf14-323b0c3ce365 · outbound

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

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Communication-efficient learning of deep networks from decentralized data,

Reference 8

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source=pdf_text observed=2026-08-06T21:51:17.247414Z digest=sha256:4f6f8512e539c6b0b3248548f36e0fffc28c36aeb473d41e1634adaa6eda2581

Observation e0bb98e3-fff9-428b-84c0-78fa6a490018 · outbound

This paper cites Advances and Open Problems in Federated Learning.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Advances and Open Problems in Federated Learning

Reference 9

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source=pdf_text observed=2026-08-06T21:51:17.303874Z digest=sha256:c9ab6e4a4b31a155a0797d73d2475b15afedd2a427b8f98ba8e5cedd76fad7fb

Observation 0433dee4-7258-40d1-9221-92a951bebfc8 · outbound

This paper cites Inverting gradients - how easy is it to break privacy in federated learning?.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Inverting gradients - how easy is it to break privacy in federated learning?

Reference 10

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source=pdf_text observed=2026-08-06T21:51:17.395982Z digest=sha256:16bb11340d9bd6c432b31f5608e9dbd65efba7f563760caf530eb075317bed91

Observation d4bb5e4b-c4e4-4e36-a848-34cd9645aaad · outbound

This paper cites Beyond inferring class representatives: User-level privacy leakage from federated learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Beyond inferring class representatives: User-level privacy leakage from federated learning,

Reference 11

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source=pdf_text observed=2026-08-06T21:51:17.458845Z digest=sha256:346c0e54e18dd851ed5fd66ecb5c53418d21364f1636455164a29393e60ae404

Observation fb970d7d-72a2-4ead-8d43-2abfb97b8f76 · outbound

This paper cites Deep leakage from gradients,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Deep leakage from gradients,

Reference 12

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source=pdf_text observed=2026-08-06T21:51:17.544564Z digest=sha256:4c7fc0f0bf6286a7b5968903ecd396309d0dbec301c687fe545315370c5d1cbd

Observation 8dda28a6-d7a4-4ee8-a5b1-0afb74a2d6e0 · outbound

This paper cites Differentially Private Federated Learning: A Client Level Perspective.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Differentially Private Federated Learning: A Client Level Perspective

Reference 13

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source=pdf_text observed=2026-08-06T21:51:17.627303Z digest=sha256:2438f638074b1e2c033de894e6eda2c8ab11c841b0b9f75ff2f850fe313530d0

Observation fd210036-8ff2-4e6a-a021-30d0d5490975 · outbound

This paper cites LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers LDP-FL: Practical Private Aggregation in Federated Learning with Local Differential Privacy

Reference 14

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source=pdf_text observed=2026-08-06T21:51:17.695193Z digest=sha256:029a50584e51c9d8ae30f735a650fafd0569ea578003a1bb2ef62548b10a673c

Observation a94cc773-3ff5-4ec7-aa23-cbe72bc461d5 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers The algorithmic foundations of differential privacy,

Reference 15

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source=pdf_text observed=2026-08-06T21:51:17.744201Z digest=sha256:32a3a41e3ea368bed48e23195b68606a7c3d8d2a5e4d6c4857c1faf93836713a

Observation 1aad47cb-9663-4e2a-9e49-42459d0a69bf · outbound

This paper cites Wireless federated learning with local differential privacy,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Wireless federated learning with local differential privacy,

Reference 16

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:17.832567Z digest=sha256:d4bc9e975062c74385e9c0b301bdbe6e5a8b6538c1e801c5172b1b7f020fedd0

Observation b2691d91-fe50-44ac-8b20-738c300b6d45 · outbound

This paper cites Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Privacy for free: Wireless federated learning via uncoded transmission with adaptive power control,

Reference 17

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source=pdf_text observed=2026-08-06T21:51:17.919924Z digest=sha256:47128954fe46e49c37bd8d203b5cc4dbc50b7b568222c609965d2a4c0cdd208e

Observation 2dbe0e63-faa4-4c5b-a5db-3ad1cca31711 · outbound

This paper cites Harnessing wireless channels for scalable and privacy-preserving federated learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Harnessing wireless channels for scalable and privacy-preserving federated learning,

Reference 18

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source=pdf_text observed=2026-08-06T21:51:18.005525Z digest=sha256:008104e9e3e93068f50a6c807de166d9cc769a870c97dd5cd6fe1bb147f180ae

Observation 11558678-95ea-4b26-9e79-14f551c020e1 · outbound

This paper cites Differentially private federated learning via reconfigurable intelligent surface,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Differentially private federated learning via reconfigurable intelligent surface,

Reference 19

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:18.092882Z digest=sha256:f0a585e154314e92ac27858053c32b62749645b05c17975e2ed1c63b68877330

Observation ac96ff28-6999-461a-be7a-eb5444bca2e2 · outbound

This paper cites Practical Secure Aggregation for Federated Learning on User-Held Data.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Practical Secure Aggregation for Federated Learning on User-Held Data

Reference 20

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source=pdf_text observed=2026-08-06T21:51:18.172510Z digest=sha256:37f5dc18b15d77b42eb75593594c8908bbaa5ec3d15fb76c77afe56f9412c198

Observation 343d517c-2bf9-41ac-b4da-6d8e937962ac · outbound

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

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Practical secure aggregation for privacy-preserving machine learning,

Reference 21

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source=pdf_text observed=2026-08-06T21:51:18.258779Z digest=sha256:1dc918d822273a23f55a6ac3698baa9f47a1c4e27ae952a3431e655b29cfa472

Observation 9afea5ae-8078-48d7-b094-f5e2f0e7a609 · outbound

This paper cites Privacy-preserving deep learning via additively homomorphic encryption,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Privacy-preserving deep learning via additively homomorphic encryption,

Reference 22

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source=pdf_text observed=2026-08-06T21:51:18.316750Z digest=sha256:4be52dd625d37176cb8a64c2191d4a3c4876be321923be7d028f3dad4d67ec71

Observation 72603999-bc67-43e4-97e0-fc4c2fcac09b · outbound

This paper cites Secure single-server aggregation with (poly) logarithmic overhead,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Secure single-server aggregation with (poly) logarithmic overhead,

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:18.373137Z digest=sha256:afa7531e79a56763d65f05eaa35b1601daac0b9e67ce8084fb74c236ac9ce87b

Observation 86ad3212-3b3c-4cdf-ac7d-2d667b3cdebb · outbound

This paper cites FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers FastSecAgg: Scalable Secure Aggregation for Privacy-Preserving Federated Learning

Reference 24

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source=pdf_text observed=2026-08-06T21:51:18.457342Z digest=sha256:8f98bbc88c2bbaa8aa1e076191357dfd3af83323d782299f5dd0282220f82220

Observation 62f54ca7-8cf9-43f3-af8a-ebe03e9aedb8 · outbound

This paper cites Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Turbo-aggregate: Breaking the quadratic aggregation barrier in secure federated learning,

Reference 25

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source=pdf_text observed=2026-08-06T21:51:18.539310Z digest=sha256:7211b10306a2e7242bdc5d8190a5ac66ec89bb8ee0caf20195cf86a03af49564

Observation 92b11bce-31d1-47f9-8efd-c338d6dbf219 · outbound

This paper cites LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers LightSecAgg: a Lightweight and Versatile Design for Secure Aggregation in Federated Learning

Reference 26

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local_arxiv, observed 2026-08-06T21:51:20.900444Z

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source=pdf_text observed=2026-08-06T21:51:18.606651Z digest=sha256:a4940fc10a72689e38ffb15370ba9e08fb9beb83a179b40bbee11cee193ed2b5

Observation 0b62a9b9-949a-46b3-8a11-2126401869c9 · outbound

This paper cites Information theoretic secure aggregation with user dropouts,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Information theoretic secure aggregation with user dropouts,

Reference 27

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source=pdf_text observed=2026-08-06T21:51:18.683705Z digest=sha256:4dcc8f5fbe53a658fa66901cf24249dc13cffc62fb38da9470c97c70b03f0d8b

Observation 4e094505-b902-4535-8ed2-124e6560602a · outbound

This paper cites Distributed learning in wireless networks: Recent progress and future challenges,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Distributed learning in wireless networks: Recent progress and future challenges,

Reference 28

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source=pdf_text observed=2026-08-06T21:51:18.798050Z digest=sha256:d373f5eab889ff4485cbfd82cbe12e5dc69fe11d67026c2be7eea0e3212fbc9a

Observation 5113a74b-d9d4-4bb8-bbc9-c55576f6dcd0 · outbound

This paper cites Federated learning over wireless fading channels,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Federated learning over wireless fading channels,

Reference 29

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source=pdf_text observed=2026-08-06T21:51:18.888956Z digest=sha256:b9bec2a76c5422018df0d293c34999d96845a336aeceb07c34055cb951d10edd

Observation 3b9b5957-2168-40ad-a35c-ec3fdbf59143 · outbound

This paper cites When wireless federated learning meets physical layer security: The fundamental limits,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers When wireless federated learning meets physical layer security: The fundamental limits,

Reference 30

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raw_fallback, observed 2026-08-06T21:51:24.141391Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:18.977320Z digest=sha256:6a7337803b6dc82a807031f1d0aeb5954e7332e4124a94fcc3173ee935e27c2f

Observation 6a68c616-304a-4cf1-8ba4-f6bdabe26bb9 · outbound

This paper cites On safeguarding privacy and security in the framework of federated learning,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers On safeguarding privacy and security in the framework of federated learning,

Reference 31

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raw_fallback, observed 2026-08-06T21:51:23.960549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.047708Z digest=sha256:67ecd5380fc5203df4dc7b87045061c4f510861ec32fc2f5a304162e4ef711a4

Observation 1bff7a3b-b47b-4b80-9b2d-89e51401c7e1 · outbound

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

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Federated learning with differential privacy: Algorithms and performance analysis,

Reference 32

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source=pdf_text observed=2026-08-06T21:51:19.122909Z digest=sha256:8b8840194346f6cc2e49958735fe1ed980697840865a01ee6f0bd493344ec867

Observation 283b5e2d-0c23-4b2d-9881-2ca63f4a958c · outbound

This paper cites Securing secure aggregation: Mitigating multi-round privacy leakage in federated learn- ing,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Securing secure aggregation: Mitigating multi-round privacy leakage in federated learn- ing,

Reference 33

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raw_fallback, observed 2026-08-06T21:51:23.724355Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.203397Z digest=sha256:611964a92c77641246ea39aa26137f640930977495e3ce892f49815e0dae12ad

Observation 84c272f3-f9f3-4bc8-b715-6fc50662dd5c · outbound

This paper cites How much privacy does federated learning with secure aggregation guarantee?.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers How much privacy does federated learning with secure aggregation guarantee?

Reference 34

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raw_fallback, observed 2026-08-06T21:51:23.510961Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.282888Z digest=sha256:52631d4c717098b06d2b97c7c8fa1de06e584811298cd9ae5e28e226339af223

Observation 6ddd5f12-4e70-42fd-b421-43ef5bac4a41 · outbound

This paper cites X-secure t-private federated submodel learning with elastic dropout resilience,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers X-secure t-private federated submodel learning with elastic dropout resilience,

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.377914Z digest=sha256:4d4f2cf9bd64e8ed107ff3b53c4367ffd1ad820a6e677da08f5989468dcee1d3

Observation e79a18ea-5a44-43a2-9db4-93d9bcdaeb23 · outbound

This paper cites Privacy-preserving coded schemes for multi-server federated learning with straggling links,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Privacy-preserving coded schemes for multi-server federated learning with straggling links,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:23.147169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.451186Z digest=sha256:e26d30c5ca16142b3cf8ca9c53ca5044911613ee07ea313e355a8b1ff4208b38

Observation c4f6bf67-cff7-42a4-88a6-b51f99994b8e · outbound

This paper cites Cache aided wireless networks: Tradeoffs between storage and latency,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Cache aided wireless networks: Tradeoffs between storage and latency,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:22.993940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.537945Z digest=sha256:2649fb172521accbff13cf52bcf834f7d353e1489f8039970554c840445fd57c

Observation d218f0af-41ce-4909-b555-e07a88559bdb · outbound

This paper cites On secrecy metrics for physi- cal layer security over quasi-static fading channels,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers On secrecy metrics for physi- cal layer security over quasi-static fading channels,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:22.806468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.630155Z digest=sha256:5e3e05e32680c1b0f2ca7a20e0ffcddf7201f1f964c85c692d0bb788598e9933

Observation 6705e46f-f4b3-4916-b512-2ef8efaeb8b8 · outbound

This paper cites Secure degrees of freedom of wireless x networks using artificial noise alignment,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Secure degrees of freedom of wireless x networks using artificial noise alignment,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:22.633114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.723374Z digest=sha256:ce9be08bd836a1555e80aff52cb37d5b072ebeb909af75814f9c74ac6cac85bf

Observation dbadd50a-c9ff-44e9-92ea-824449c43ac5 · outbound

This paper cites Security of ramp schemes,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Security of ramp schemes,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:22.460696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.817412Z digest=sha256:de487b440905287b07d7692c71c2c84a7e30633f2cba0a2de793030728544338

Observation a804ec1e-bdbe-4200-9664-f4b7c8887899 · outbound

This paper cites Communication complexity of secure com- putation,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Communication complexity of secure com- putation,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:22.251198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:19.934545Z digest=sha256:7c0a1d5a4392a3cd8a06f769a4c65491b34d259274cb36ff65e468c413e28f85

Observation 119d6702-bdfd-49d6-82af-d2b3209689d3 · outbound

This paper cites Lagrange coded computing: Optimal design for resiliency, security, and privacy,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Lagrange coded computing: Optimal design for resiliency, security, and privacy,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:22.064605Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:20.000800Z digest=sha256:85041a3cf344a70beea776a90657dd84390fea0857c70c02ee9ce44a270018cb

Observation e96dfbb5-be7f-4644-8c86-0a3f7dd8d1e1 · outbound

This paper cites Secure degrees of freedom of one-hop wireless networks,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Secure degrees of freedom of one-hop wireless networks,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:21.849250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:20.087234Z digest=sha256:65262eea5db177bee18b360619383cea4d78b0468fb78665495c669ac03bf4f9

Observation dc89c04e-b212-4e8b-b1ac-281c882383fb · outbound

This paper cites Fast polynomial factorization and modular composition,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Fast polynomial factorization and modular composition,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:21.698595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:20.160720Z digest=sha256:72f73539c667accb0e77558f3e5290a4fcdf3f6197bc0bf99b74118d82b266b5

Observation 36156ed8-a617-4205-af56-b6392244e075 · outbound

This paper cites Aiming perfectly in the dark- blind interference alignment through staggered antenna switching,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Aiming perfectly in the dark- blind interference alignment through staggered antenna switching,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:21.454678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:20.214687Z digest=sha256:3db798f01abe0d3df2ccf1570265991a549763ba18beea0178bbe95ba34bb60d

Observation 7cc5341e-8b48-4c4b-b3b4-b20ee09d95bb · outbound

This paper cites Coded computing for half-duplex wireless distributed computing systems via interference alignment,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Coded computing for half-duplex wireless distributed computing systems via interference alignment,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:51:21.247223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:20.278421Z digest=sha256:2f683a52139ae13e4aa38d622a53bc675f625f312b2cd9f1c0cd606ec6f16ed6

Observation 53b7a129-175a-4dba-b03c-886bff1ee2e5 · outbound

This paper cites Blind interference alignment for mapreduce: Ex- ploiting side-information with reconfigurable antennas,.

Asymptotically Optimal Secure Aggregation for Wireless Federated Learning with Multiple Servers Blind interference alignment for mapreduce: Ex- ploiting side-information with reconfigurable antennas,

Reference 47

Resolution
verified exact
raw_fallback, observed 2026-08-06T21:51:20.663339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T21:51:20.351852Z digest=sha256:52d99374e6ba12b22b436324d7acd02ac331b57e85dad9b1586c0e61057386f4

Pith citing papers

No inbound Pith citation observations are available.