One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning | Paper Citation Record

Observation 993d0ab3-31b8-4909-adcb-ee3ecdc1e6cc · outbound

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

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Communication-efficient learning of deep networks from decentralized data,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.459893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c1c4aeaf-22de-43f5-b8c6-f6d32e380f06 · outbound

This paper cites Federated learning for the Internet of Things: Applications, challenges, and opportunities,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Federated learning for the Internet of Things: Applications, challenges, and opportunities,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.448167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e6ee25c-cae0-4341-aea9-097e416315ec · outbound

This paper cites Confederated learning: Federated learning with decentralized edge servers,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Confederated learning: Federated learning with decentralized edge servers,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.436919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59654741-e401-425a-92bc-0b53ec26cf30 · outbound

This paper cites A survey on federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning A survey on federated learning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.424847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be144260-4682-4f14-9eb7-22b7af74628f · outbound

This paper cites Heterogeneous feder- ated learning: State-of-the-art and research challenges,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Heterogeneous feder- ated learning: State-of-the-art and research challenges,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.413512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6f99b6ca-d81c-487f-93f5-7a0f9f3f7bfb · outbound

This paper cites FedPD: A federated learning framework with adaptivity to Non-IID data,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning FedPD: A federated learning framework with adaptivity to Non-IID data,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.399154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 09a99ebc-465a-43cd-ad98-ac2553936df4 · outbound

This paper cites Towards personalized federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Towards personalized federated learning,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.382909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 26ed460c-8cf2-470a-9d23-ba754f4d6a96 · outbound

This paper cites Byzantine-robust and communication-efficient personalized federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Byzantine-robust and communication-efficient personalized federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.367570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4819e27b-9065-448e-9009-d2f525cd02c4 · outbound

This paper cites Adaptive model pruning and personalization for federated learning over wireless networks,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Adaptive model pruning and personalization for federated learning over wireless networks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.353527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4b6fefa9-01b3-4b69-b1a5-19af753314d4 · outbound

This paper cites Personalized federated learning towards communication efficiency, robustness and fairness,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Personalized federated learning towards communication efficiency, robustness and fairness,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.341505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 377dd350-ed6f-4551-88e9-f996b0ef425c · outbound

This paper cites Communication-efficient design for quantized decentralized federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Communication-efficient design for quantized decentralized federated learning,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:55.322851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c776c5aa-152e-45ed-870a-f52a7f5832fa · outbound

This paper cites FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning FLASH: Federated Learning-Based LLMs for Advanced Query Processing in Social Networks through RAG

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:11:00.570927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 474a43e3-41a0-4c28-8b83-99a0f3037f2d · outbound

This paper cites A survey of trustworthy federated learning: Issues, solutions, and challenges,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning A survey of trustworthy federated learning: Issues, solutions, and challenges,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.320718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5cd67306-11e3-4dc8-afda-1e8b53be149b · outbound

This paper cites An experimental study of Byzantine- robust aggregation schemes in federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning An experimental study of Byzantine- robust aggregation schemes in federated learning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.307245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 141bd45f-cdb5-4718-a947-d0eef873210c · outbound

This paper cites A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning A comprehensive survey of privacy- preserving federated learning: A taxonomy, review, and future direc- tions,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.295547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8f64aee9-5a1d-4303-8ef6-fa6a4dd68889 · outbound

This paper cites signSGD: Compressed optimisation for non-convex problems,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning signSGD: Compressed optimisation for non-convex problems,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.283940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 36a113d1-a4ec-448b-9ac2-eba98b3de409 · outbound

This paper cites signSGD with Majority Vote is Communication Efficient And Fault Tolerant.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning signSGD with Majority Vote is Communication Efficient And Fault Tolerant

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:55.711188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e3a937e-a246-4927-8470-9066270d666e · outbound

This paper cites Distributed training with heterogeneous data: bridging median- and mean-based algorithms,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Distributed training with heterogeneous data: bridging median- and mean-based algorithms,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.273582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 15618c20-38fd-42bc-b163-8a8f410a6b19 · outbound

This paper cites Sign-based gradient descent with heterogeneous data: Convergence and Byzantine resilience,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Sign-based gradient descent with heterogeneous data: Convergence and Byzantine resilience,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.262387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9835f748-50d8-4c25-9c2c-d1df812bd609 · outbound

This paper cites z-SignFedAvg: a unified stochastic sign-based compression for federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning z-SignFedAvg: a unified stochastic sign-based compression for federated learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.251113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 721e3009-e5e0-478e-90fa-8678015c5e92 · outbound

This paper cites S 3GD-MV: Sparse-SignSGD with majority vote for communication-efficient distributed learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning S 3GD-MV: Sparse-SignSGD with majority vote for communication-efficient distributed learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.240298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b3b1607b-9981-4238-8d67-05ece76eea8b · outbound

This paper cites Federated optimization in heterogeneous networks,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Federated optimization in heterogeneous networks,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.230343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 03eac1a6-31db-4051-a066-b3480d059c08 · outbound

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

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Federated Learning: Strategies for Improving Communication Efficiency

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:56.075810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66e55aca-81fe-4647-b28c-09b2f86d421e · outbound

This paper cites QSGD: Communication-efficient SGD via gradient quantization and encoding,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning QSGD: Communication-efficient SGD via gradient quantization and encoding,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.219880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf2d074b-f0c1-4bc9-a16f-934f2d016a59 · outbound

This paper cites UVeQFed: Universal vector quantization for federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning UVeQFed: Universal vector quantization for federated learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.209228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation eedf6339-a524-4c49-b692-adaf0bd346ed · outbound

This paper cites Adaptive gradient quantization for data-parallel SGD,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Adaptive gradient quantization for data-parallel SGD,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.199392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3c1ed7b3-3958-473a-a5f8-d6cc4f36f877 · outbound

This paper cites Communication-efficient federated learning with adaptive quantiza- tion,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Communication-efficient federated learning with adaptive quantiza- tion,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.188676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c178f8d0-8b2d-4c59-bb91-0b96b450a43e · outbound

This paper cites FedFQ: Federated Learning with Fine-Grained Quantization.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning FedFQ: Federated Learning with Fine-Grained Quantization

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:11:00.389558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd41c9e3-0f0e-42fd-a548-ada942409148 · outbound

This paper cites Distributed deep reinforcement learning based gradient quantization for federated learning enabled vehicle edge computing,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Distributed deep reinforcement learning based gradient quantization for federated learning enabled vehicle edge computing,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.177238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2969dbb4-26e3-4d7b-ba02-841de7ecff2e · outbound

This paper cites Joint accuracy and latency optimization for quantized federated learning in vehicular networks,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Joint accuracy and latency optimization for quantized federated learning in vehicular networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.164061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dbdf19c3-7cf0-4cd8-9de1-f3c753f630d6 · outbound

This paper cites The algorithmic foundations of differential privacy,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning The algorithmic foundations of differential privacy,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.152368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3f23b934-92c2-474d-a608-5a995191eade · outbound

This paper cites A survey on security and privacy of federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning A survey on security and privacy of federated learning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.138838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7d0775e9-3344-4ff9-908a-bf159ae6e391 · outbound

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

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Differentially Private Federated Learning: A Client Level Perspective

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:56.871054Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2fcd9125-ea0e-4bce-99d2-5decc0d7ee5b · outbound

This paper cites cpSGD: communication-efficient and differentially-private distributed SGD,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning cpSGD: communication-efficient and differentially-private distributed SGD,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.127670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 584252c9-5e26-49be-8edb-5be0288a20f4 · outbound

This paper cites The Skellam mechanism for differentially private federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning The Skellam mechanism for differentially private federated learning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.116049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 89da891c-ee5f-4be9-ad1e-ef8c72f02ac1 · outbound

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

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning The distributed discrete Gaussian mechanism for federated learning with secure aggregation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.103513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e0ab9fc4-0ff2-4054-9768-2f1054222e22 · outbound

This paper cites Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Privacy for Free: Communication-Efficient Learning with Differential Privacy Using Sketches

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:57.232378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9009b94-b4e4-4548-b4f5-b974ad5ed36a · outbound

This paper cites Joint privacy en- hancement and quantization in federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Joint privacy en- hancement and quantization in federated learning,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.091411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c68631fb-2acb-4b8d-9d42-750d7da28d27 · outbound

This paper cites Randomized Quantization is All You Need for Differential Privacy in Federated Learning.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Randomized Quantization is All You Need for Differential Privacy in Federated Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:57.412445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b538e7-40fb-4019-80c1-73f8638f6ab2 · outbound

This paper cites vqSGD: Vector quantized stochastic gradient descent,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning vqSGD: Vector quantized stochastic gradient descent,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.075851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1644fa9c-582f-4384-bed4-eb7a15257e1f · outbound

This paper cites Machine learning with adversaries: Byzantine tolerant gradient descent,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Machine learning with adversaries: Byzantine tolerant gradient descent,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.062390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation aed3f6a9-c627-446b-a196-33919dc51759 · outbound

This paper cites The hidden vulner- ability of distributed learning in Byzantium,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning The hidden vulner- ability of distributed learning in Byzantium,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.049993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation dd049cb7-9c45-49e2-bf34-5a9a0e8122fd · outbound

This paper cites FABA: an algorithm for fast aggregation against Byzantine attacks in distributed neural networks,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning FABA: an algorithm for fast aggregation against Byzantine attacks in distributed neural networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.040191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2151e563-b5f5-4293-bf40-37429bd6bba6 · outbound

This paper cites Byzantine-robust dis- tributed learning: Towards optimal statistical rates,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Byzantine-robust dis- tributed learning: Towards optimal statistical rates,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.030304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1741777a-8b67-4a0f-9d55-46b1ef1b3e4d · outbound

This paper cites Robust aggregation for federated learning,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Robust aggregation for federated learning,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.019714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 3bf1e52e-eb09-4f63-a5f4-edb0e5e7cd4e · outbound

This paper cites DRACO: Byzantine-resilient distributed training via redundant gradients,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning DRACO: Byzantine-resilient distributed training via redundant gradients,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:03.009734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 27017c96-fb38-4e7b-becc-94ae02052161 · outbound

This paper cites DETOX: a redundancy-based framework for faster and more robust gradient aggregation,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning DETOX: a redundancy-based framework for faster and more robust gradient aggregation,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:02.998201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 47004a6c-e9cf-426c-ab4a-a6fc8283e435 · outbound

This paper cites Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Byzantine-Robust Learning on Heterogeneous Datasets via Bucketing

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T20:10:58.404804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f665a7-8fae-4030-b12f-c9f7cd59254c · outbound

This paper cites Byzantine-robust learning on heterogeneous data via gradient splitting,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Byzantine-robust learning on heterogeneous data via gradient splitting,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:02.973694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1be11789-7020-4fce-ae59-2a906597f22e · outbound

This paper cites Shielding federated learning: Robust aggregation with adaptive client selection,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Shielding federated learning: Robust aggregation with adaptive client selection,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:02.857707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f28693af-3414-49bd-b57a-64526f69acc0 · outbound

This paper cites Learning from history for Byzantine robust optimization,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Learning from history for Byzantine robust optimization,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:02.606928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 6eca968e-da75-4a7c-ada7-91f14968c5cb · outbound

This paper cites RSA: Byzantine- robust stochastic aggregation methods for distributed learning from heterogeneous datasets,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning RSA: Byzantine- robust stochastic aggregation methods for distributed learning from heterogeneous datasets,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:02.277415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b6d6fa56-ff21-4123-8966-abae3e3211ff · outbound

This paper cites Federated Two-stage Learning with Sign-based Voting.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Federated Two-stage Learning with Sign-based Voting

Reference 53

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:11:00.151557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ded8ca80-560c-4d0f-aa92-45a267b3dcb7 · outbound

This paper cites Stochastic sign descent methods: New algorithms and better theory,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Stochastic sign descent methods: New algorithms and better theory,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:02.047980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 548a11e9-87af-45c0-b21d-8ec5d8af2ec5 · outbound

This paper cites Bridging differential privacy and Byzantine- robustness via model aggregation,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Bridging differential privacy and Byzantine- robustness via model aggregation,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:01.900715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation be129ca0-9510-4990-a1f2-76a5ff5eedd2 · outbound

This paper cites Federated learning with ℓ1 regularization,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Federated learning with ℓ1 regularization,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:01.745093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 4547000c-bd3b-4034-b740-f71d22e73986 · outbound

This paper cites Mag- nitude matters: Fixing signSGD through magnitude-aware sparsification and error feedback in the presence of data heterogeneity,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Mag- nitude matters: Fixing signSGD through magnitude-aware sparsification and error feedback in the presence of data heterogeneity,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:01.570083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 06249ae1-99a1-479b-ad62-1cbada1d15bd · outbound

This paper cites Rate distortion for model compression:From theory to practice,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Rate distortion for model compression:From theory to practice,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:01.384890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 46bf3896-3c3a-408a-9c70-8f1b220a81be · outbound

This paper cites Deep learning with differential privacy,.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Deep learning with differential privacy,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:01.205254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cc8423fa-00f9-4a14-9847-4f7140634fe8 · outbound

This paper cites an unresolved cited work.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:11:01.029203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation cf401d66-ee1a-4ec3-881f-34574705555c · outbound

This paper cites an unresolved cited work.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-06T20:11:00.884882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 5a9041d9-175a-4bd7-8f56-d6649638e360 · outbound

This paper cites 1 M 2 MX m=1 I {cm i = 1} + X i∈B I {zm i > cm i } − X i∈B I {zm i < cm i } ! − M ! bi #2 − θi 2 = E.

One-Bit Model Aggregation for Differentially Private and Byzantine-Robust Personalized Federated Learning 1 M 2 MX m=1 I {cm i = 1} + X i∈B I {zm i > cm i } − X i∈B I {zm i < cm i } ! − M ! bi #2 − θi 2 = E

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T20:11:00.724217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Coverage vector

Reference resolution

Outbound references

Pith citing papers