Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks | Paper Citation Record

Observation f668ff7d-fddd-466f-a179-9feef6568b45 · outbound

This paper cites Federated learning over wireless networks: Convergence analysis and resource allocation,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning over wireless networks: Convergence analysis and resource allocation,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.383417Z

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Observation ea095813-d513-465d-9228-32b4b65c713e · outbound

This paper cites Federated learning with Non-IID data in wireless networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning with Non-IID data in wireless networks,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.371089Z

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Observation c3462068-532e-446b-b3bb-a387bf180795 · outbound

This paper cites Age-based scheduling for mobile edge computing: A deep reinforcement learning approach,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Age-based scheduling for mobile edge computing: A deep reinforcement learning approach,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.358263Z

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Observation 5bd7018e-6eea-453f-8964-ad4f086d1489 · outbound

This paper cites Federated learning for Internet of things: Recent advances, taxonomy, and open challenges,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning for Internet of things: Recent advances, taxonomy, and open challenges,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.345987Z

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Observation dcd7b770-5bf3-4c5b-b09d-2011d0695984 · outbound

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

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning for Internet of things: A comprehensive survey,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.333873Z

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Observation 975d35df-05c3-4f23-b7a7-587d68585def · outbound

This paper cites Toward fast personalized semi-supervised federated learning in edge networks: Algorithm design and theoretical guarantee,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Toward fast personalized semi-supervised federated learning in edge networks: Algorithm design and theoretical guarantee,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.321412Z

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Observation c8f99fad-256f-4369-bf2b-a8833c80c2f2 · outbound

This paper cites Demystifying model averaging for communication-efficient federated matrix factorization,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Demystifying model averaging for communication-efficient federated matrix factorization,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.309506Z

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Observation 920ceab0-9805-452d-8c7f-818bd50413c8 · outbound

This paper cites Federated Optimization: Distributed Machine Learning for On-Device Intelligence.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated Optimization: Distributed Machine Learning for On-Device Intelligence

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T18:35:01.052631Z

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Observation f5c2b8a5-3674-48a5-919c-4df7fc45a247 · outbound

This paper cites Federated optimization: Distributed optimization beyond the datacenter,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated optimization: Distributed optimization beyond the datacenter,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.296862Z

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Observation 7dc81135-0d91-43af-94e5-d26d9a65e251 · outbound

This paper cites Federated Learning in Mobile Edge Networks: A Comprehensive Survey.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated Learning in Mobile Edge Networks: A Comprehensive Survey

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:35:01.446962Z

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Observation 8b1e51ca-c891-4548-a5dd-4e5170cf6cd3 · outbound

This paper cites Mobility-aware cluster federated learning in hierarchical wireless networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Mobility-aware cluster federated learning in hierarchical wireless networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.283061Z

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Observation c270ddba-1c57-4a5f-9ce2-0359ab8026df · outbound

This paper cites Scheduling policies for federated learning in wireless networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Scheduling policies for federated learning in wireless networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.269505Z

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Observation d72269f2-d866-4d7c-b2d3-9495ed5e631c · outbound

This paper cites Federated optimization in heterogeneous networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated optimization in heterogeneous networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.256494Z

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Observation 0ceba271-4354-4740-b4eb-c5942d2f1e01 · outbound

This paper cites Why batch normalization damage federated learning on non-iid data?.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Why batch normalization damage federated learning on non-iid data?

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.242864Z

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Observation 2b844f97-d95d-45e5-9802-7433b2d82d5b · outbound

This paper cites Fedfisher: Leveraging fisher information for one-shot federated learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Fedfisher: Leveraging fisher information for one-shot federated learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.228460Z

Source-reported events for the cited work

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Observation edeae34b-c60f-4102-b3be-3161b1869b3b · outbound

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

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Scaffold: Stochastic controlled averaging for federated learning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.215413Z

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Observation f0086708-d253-4290-b949-1823f09b9e0a · outbound

This paper cites Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T18:35:01.418809Z

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Observation ae2c3f15-952b-41bf-8110-cacc3635954b · outbound

This paper cites Quantized federated learning under transmission delay and outage constraints,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Quantized federated learning under transmission delay and outage constraints,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.200211Z

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Observation 68fc13cd-3080-4229-9a3d-afc131a48b30 · outbound

This paper cites FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks FedPAQ: A communication-efficient federated learning method with periodic averaging and quantization,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.184323Z

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Observation 20b60803-7f62-49e5-a77a-c307bcdd0d33 · outbound

This paper cites Federated learning with compression: Unified analysis and sharp guarantees,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning with compression: Unified analysis and sharp guarantees,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.169973Z

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Observation 7e5ecb14-a426-4fa4-9cbc-2f5a9f822002 · outbound

This paper cites Design and analysis of uplink and downlink communications for federated learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Design and analysis of uplink and downlink communications for federated learning,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.153880Z

Source-reported events for the cited work

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Observation 38ae24e2-f9f4-4509-8a8f-cd91b8ee801e · outbound

This paper cites Communication-efficient federated learning for heterogeneous edge devices based on adaptive gradient quantization,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Communication-efficient federated learning for heterogeneous edge devices based on adaptive gradient quantization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.141311Z

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Observation 77759055-eb7b-4318-b087-95d3ccc3b750 · outbound

This paper cites Dadaquant: Doubly-adaptive quantization for communication-efficient federated learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Dadaquant: Doubly-adaptive quantization for communication-efficient federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.128165Z

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Observation d5d388b4-b672-4216-88bd-db9437913781 · outbound

This paper cites Fedvqcs: Federated learning via vector quantized compressed sensing,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Fedvqcs: Federated learning via vector quantized compressed sensing,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.116160Z

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Observation c61f3ea9-93e4-4306-b5c7-a9293e3b1f38 · outbound

This paper cites Communication-efficient federated learning via quantized compressed sensing,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Communication-efficient federated learning via quantized compressed sensing,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.102272Z

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Observation 69cf6bed-705d-4e25-8508-3b8bc0e5128a · outbound

This paper cites Device scheduling with fast convergence for wireless federated learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Device scheduling with fast convergence for wireless federated learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.088251Z

Source-reported events for the cited work

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Observation 086ef79c-ed0d-45e2-b611-5c5a6dd8f87a · outbound

This paper cites Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.074561Z

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Observation 9b86d470-02fe-4758-be8e-88c10712c872 · outbound

This paper cites A joint learning and communications framework for federated learning over wireless networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks A joint learning and communications framework for federated learning over wireless networks,

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T18:35:01.145800Z

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Observation 077f2e04-7d26-43a8-89ac-1b06438486d8 · outbound

This paper cites Federated learning in unreliable and resource-constrained cellular wireless networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning in unreliable and resource-constrained cellular wireless networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:02.051738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea19655c-a192-476b-a1ef-502aebffdc7f · outbound

This paper cites Scheduling policies for federated learning in wireless networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Scheduling policies for federated learning in wireless networks,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.895332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7d56ba85-8195-4a7d-8cd0-28117df15f9c · outbound

This paper cites Cost-effective federated learning in mobile edge networks,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Cost-effective federated learning in mobile edge networks,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.879487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e5564fef-0dcf-4605-9cc3-260f5deacfbd · outbound

This paper cites Automated federated learning in mobile-edge networks—fast adaptation and convergence,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Automated federated learning in mobile-edge networks—fast adaptation and convergence,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.865684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9f02b0b8-a03a-44b8-81b8-3792dcc2a8ba · outbound

This paper cites Wireless quantized federated learning: A joint computation and communication design,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Wireless quantized federated learning: A joint computation and communication design,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.851038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 48b6aa1e-f291-4624-a3b9-952f66f4bca5 · outbound

This paper cites Green, quantized federated learning over wireless networks: An energy-efficient design,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Green, quantized federated learning over wireless networks: An energy-efficient design,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.838727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b1880fdb-c0e2-4c04-be0b-93699fac7fd0 · outbound

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

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks On the convergence of FedAvg on non-iid data,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.825385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5ecc1911-ed3c-4260-b522-c8ad49035835 · outbound

This paper cites Variance Reduced Local SGD with Lower Communication Complexity.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Variance Reduced Local SGD with Lower Communication Complexity

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-10T18:35:01.176921Z

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Observation 913a53f5-7ce3-4569-adfd-0140009daaa4 · outbound

This paper cites Federated learning based on dynamic regularization,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated learning based on dynamic regularization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.811027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a8c79c92-353d-472d-b395-01bde54f3caf · outbound

This paper cites Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Mime: Mimicking Centralized Stochastic Algorithms in Federated Learning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T18:35:01.184510Z

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Observation 5d8227a4-e3bc-4294-8403-dd519af655fe · outbound

This paper cites Beyond ADMM: A unified client-variance-reduced adaptive federated learning framework,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Beyond ADMM: A unified client-variance-reduced adaptive federated learning framework,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.796689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f8b2fa7a-274a-47b1-90aa-4474e5e61485 · outbound

This paper cites Asynchronous Federated Optimization.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Asynchronous Federated Optimization

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-10T18:35:01.192687Z

Source-reported events for the cited work

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Observation 1b415108-5ad1-4bd0-ad22-45398bc1c82e · outbound

This paper cites Communication-efficient adaptive federated learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Communication-efficient adaptive federated learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.781588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fd8f1f4d-bfeb-4dfb-9796-d7911a0d62ed · outbound

This paper cites Fast federated learning by balancing communication trade-offs,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Fast federated learning by balancing communication trade-offs,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.768402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 528641fe-d7ad-408f-9626-5258d0d40490 · outbound

This paper cites Adaptive control of local updating and model compression for efficient federated learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Adaptive control of local updating and model compression for efficient federated learning,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.755543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 45ef322d-4dbf-4def-b592-35d6e97edb08 · outbound

This paper cites Broadband analog aggregation for low-latency federated edge learning,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Broadband analog aggregation for low-latency federated edge learning,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.742112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4ab76bd-060a-40e4-b9ef-a31d24d4d594 · outbound

This paper cites Adaptive federated optimization,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Adaptive federated optimization,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.727896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 00bd681f-8125-45b0-8038-d4f7372040cb · outbound

This paper cites Fedpd: A federated learning framework with adaptivity to non-iid data,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Fedpd: A federated learning framework with adaptivity to non-iid data,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.714052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0124ed9f-cd61-4fec-8255-783d6ac4b199 · outbound

This paper cites FedADMM: A robust federated deep learning framework with adaptivity to system heterogeneity,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks FedADMM: A robust federated deep learning framework with adaptivity to system heterogeneity,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.699014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8d56326-5e95-4f9a-b911-b86a7b721d96 · outbound

This paper cites Parallel restarted sgd with faster convergence and less communication: Demystifying why model averaging works,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Parallel restarted sgd with faster convergence and less communication: Demystifying why model averaging works,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.685141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5831ec10-22ce-4e79-8c48-95d00c7bb35e · outbound

This paper cites Local SGD converges fast and communicates little,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Local SGD converges fast and communicates little,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.670928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87776eb3-0b03-4613-8115-0d6c5613b277 · outbound

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

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Communication-efficient learning of deep networks from decentralized data,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.655820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3c7c0d70-0994-4125-a083-f6eee781028f · outbound

This paper cites Federated matrix factorization: Algorithm design and application to data clustering,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated matrix factorization: Algorithm design and application to data clustering,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.643688Z

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Observation 8aacb367-5ab0-442d-9aa8-a94634ca4b88 · outbound

This paper cites Federated Learning With Quantized Global Model Updates.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated Learning With Quantized Global Model Updates

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-10T18:35:01.243677Z

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Observation efb85275-dfaf-4e54-acab-ebce265dab8b · outbound

This paper cites Federated block coordinate descent scheme for learning global and personalized models,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Federated block coordinate descent scheme for learning global and personalized models,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.630990Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56fe2b44-e914-42dc-9cee-92680c432a3f · outbound

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

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Learning multiple layers of features from tiny images,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.617914Z

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Observation 2f5497f1-0b6d-484c-bd31-6222e922f55f · outbound

This paper cites LeCun, C.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks LeCun, C

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.603669Z

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Observation 3d8ffcdd-8f08-46b8-8633-a70cf3339fa1 · outbound

This paper cites Nestt: A nonconvex primal-dual splitting method for distributed and stochastic optimization,.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Nestt: A nonconvex primal-dual splitting method for distributed and stochastic optimization,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.589681Z

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Observation c4c8ff2c-c049-48be-b1bb-3ce319c144da · outbound

This paper cites an unresolved cited work.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Unresolved cited work

Reference 57

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:35:01.574445Z

Source-reported events for the cited work

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Observation 729f3837-9fb8-4644-8454-7e443ccb133d · outbound

This paper cites an unresolved cited work.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Unresolved cited work

Reference 58

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:35:01.558092Z

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Observation 9a61e9c5-35a2-4d09-98c4-1cb665aab081 · outbound

This paper cites an unresolved cited work.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Unresolved cited work

Reference 59

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:35:01.543073Z

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Observation 5783bc39-3f92-4e4e-90f2-01d79502ec1a · outbound

This paper cites (72) 42 Then, we need to analyze the terms Cr 0 , Cr 1 , Cr 2 in the RHS of (72).

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks (72) 42 Then, we need to analyze the terms Cr 0 , Cr 1 , Cr 2 in the RHS of (72)

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.525941Z

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Observation 8cb4dd38-bd08-4464-8701-25d7deab8a1a · outbound

This paper cites (85) Using γη ¯Er ≤ 1 2 √ N p(1+¯ωr), we get zr 1 ≤(γ2 + 4L2) m + 2N p(1 + ¯ωr)(γη ¯Er)2L γ − 2mL2 ≤(γ2 + 4L2) m + L 2γ − 2mL2 ≤ 17γ2 16 + 9L2 4 m ≤ 17m 16 (γ2 + 4L2).

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks (85) Using γη ¯Er ≤ 1 2 √ N p(1+¯ωr), we get zr 1 ≤(γ2 + 4L2) m + 2N p(1 + ¯ωr)(γη ¯Er)2L γ − 2mL2 ≤(γ2 + 4L2) m + L 2γ − 2mL2 ≤ 17γ2 16 + 9L2 4 m ≤ 17m 16 (γ2 + 4L2)

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T18:35:01.507817Z

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Observation 9a5b5ba0-4378-4156-a93a-714090cd4885 · outbound

This paper cites an unresolved cited work.

Communication-Efficient Federated Learning by Quantized Variance Reduction for Heterogeneous Wireless Edge Networks Unresolved cited work

Reference 62

Resolution: unresolved; raw_fallback, observed 2026-08-10T18:35:01.485577Z

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