Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification | Paper Citation Record

Observation 5aeed9ff-d737-44be-a3db-365217e188d2 · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Task- oriented communications for 6G: Vision, principles, and technologies,

Reference 1

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Observation c07f5d3a-c088-462a-9739-08978fecf9f6 · outbound

This paper cites A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification A vision of 6G wireless systems: Applications, trends, technologies, and open research problems,

Reference 2

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Observation e47f1398-9e67-47f4-9903-3b2632eb501d · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Edge artificial intelligence for 6G: Vision, enabling technologies, and applications,

Reference 3

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Observation 92d2ac6f-1b31-4c80-8111-76df6f439744 · outbound

This paper cites Edge learning with timeliness constraints: Challenges and solutions,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Edge learning with timeliness constraints: Challenges and solutions,

Reference 4

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Observation f7589ee8-2f21-4110-8293-3ce12a626232 · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Distributed learning in wireless networks: Recent progress and future challenges,

Reference 5

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Source-reported events for the cited work

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Observation ee2dd3dc-518c-4b30-8e8f-b27fb2f9ca8d · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification A joint learning and communications framework for federated learning over wireless networks,

Reference 6

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Source-reported events for the cited work

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

Observation b7ac711b-cd5f-4157-a50c-057f47166d52 · outbound

This paper cites MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification MEET: Mobility-Enhanced Edge inTelligence for Smart and Green 6G Networks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.375569Z

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 d555da15-fc97-4646-8480-5d877954ceae · outbound

This paper cites Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Mobility-aware multi-hop task offloading for autonomous driving in vehicular edge computing and networks,

Reference 8

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Source-reported events for the cited work

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

Observation 82152af4-87e0-43a9-b67c-9bc32e4e50c8 · outbound

This paper cites Multi-agent deep reinforcement learning for task offloading in UA V-assisted mobile edge computing,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Multi-agent deep reinforcement learning for task offloading in UA V-assisted mobile edge computing,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.353399Z

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 069f7137-d75d-42c5-ba7e-c3832d8daf8a · outbound

This paper cites A comprehensive survey on mobility-aware D2D communications: Principles, practice and challenges,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification A comprehensive survey on mobility-aware D2D communications: Principles, practice and challenges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.342687Z

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 fabf9d01-6783-4ee7-b5df-6a54b5a606fb · outbound

This paper cites Federated learning under arbi- trary communication patterns,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Federated learning under arbi- trary communication patterns,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.331677Z

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 52eb80d9-92b7-4a6d-8be3-a74c9775b409 · outbound

This paper cites Adaptive transmission scheduling in wireless networks for asynchronous federated learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Adaptive transmission scheduling in wireless networks for asynchronous federated learning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.320110Z

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 e0f6a281-8160-4f29-ab6c-b19292e4c0c5 · outbound

This paper cites Scheduling and aggregation design for asynchronous federated learning over wireless networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Scheduling and aggregation design for asynchronous federated learning over wireless networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.309153Z

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 2d993d70-1a26-40e9-b562-c91680ed5ed3 · outbound

This paper cites Qsparse-Local-SGD: Distributed SGD with quantization, sparsification, and local computa- tions,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Qsparse-Local-SGD: Distributed SGD with quantization, sparsification, and local computa- tions,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.297266Z

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 c93fd45f-15ca-4954-ba90-5a2742f7d8a5 · outbound

This paper cites Mobility-aware caching in D2D networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Mobility-aware caching in D2D networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.286074Z

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 5fd5556c-c0b1-4c14-8900-6b39d432a253 · outbound

This paper cites Accelerating asynchronous federated learning con- vergence via opportunistic mobile relaying,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Accelerating asynchronous federated learning con- vergence via opportunistic mobile relaying,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.275119Z

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 b0b6a8a9-edbf-4c54-966f-13a51b4f2c39 · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Scheduling policies for federated learning in wireless networks,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.264202Z

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 3e225614-db88-40f6-b578-a070d16884a4 · outbound

This paper cites Scheduling for cellular federated edge learning with importance and channel aware- ness,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Scheduling for cellular federated edge learning with importance and channel aware- ness,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.252808Z

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 79a1b787-644a-4553-aaa2-c837624caf47 · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Broadband analog aggregation for low-latency federated edge learning,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:04.621387Z

Source-reported events for the cited work

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Observation 5b635f08-ad7b-43b7-a09e-d82bb04223c6 · outbound

This paper cites Dynamic scheduling for over-the-air federated edge learning with energy constraints,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Dynamic scheduling for over-the-air federated edge learning with energy constraints,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.235624Z

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 d15a07ef-c51d-4936-b6ac-dd866b6fbf1c · outbound

This paper cites Gradient sparsification for communication-efficient distributed optimization,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Gradient sparsification for communication-efficient distributed optimization,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.225822Z

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 30b9831e-949c-4d2e-ae43-e4af203d2866 · outbound

This paper cites High-dimensional stochastic gradient quantization for communication-efficient edge learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification High-dimensional stochastic gradient quantization for communication-efficient edge learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.215338Z

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 ae990dab-e250-4020-89c9-de96365c4c95 · outbound

This paper cites Time-correlated sparsification for communication-efficient federated learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Time-correlated sparsification for communication-efficient federated learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.204788Z

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 2d7b0b9f-90f7-45ca-9366-aa492cf1e500 · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification UVeQFed: universal vector quantization for federated learning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.194227Z

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 1f7bda45-642f-4165-b3ef-27cff92e349d · outbound

This paper cites Lazily aggregated quantized gradient innovation for communication-efficient federated learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Lazily aggregated quantized gradient innovation for communication-efficient federated learning,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.184300Z

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 4f4836fd-6447-446e-8353-b8d354cd0b95 · outbound

This paper cites Dynamic clustering and power control for two-tier wireless federated learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Dynamic clustering and power control for two-tier wireless federated learning,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.173757Z

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 4811856a-cfa2-43d6-9825-6ec8d609b817 · outbound

This paper cites Communication-efficient and distributed learning over wireless networks: Principles and applications,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Communication-efficient and distributed learning over wireless networks: Principles and applications,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.162637Z

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 1863f29d-0e04-4d0a-a3df-294f291be04d · outbound

This paper cites Vehicle selection and resource optimization for federated learning in vehicular edge computing,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Vehicle selection and resource optimization for federated learning in vehicular edge computing,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.150912Z

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 04d04e15-3ae7-4449-8f4d-7ff918898ec7 · outbound

This paper cites Dynamic scheduling for vehicle-to-vehicle communications enhanced federated learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Dynamic scheduling for vehicle-to-vehicle communications enhanced federated learning,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.139456Z

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 36ca0362-1856-4a04-9a8b-2ec7219258a0 · outbound

This paper cites Ve- hicle selection and resource allocation for federated learning-assisted vehicular network,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Ve- hicle selection and resource allocation for federated learning-assisted vehicular network,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.127725Z

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 b4255a9a-e09e-44e9-8b99-0b94e06b665f · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Mobility-aware cluster federated learning in hierarchical wireless net- works,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.116085Z

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 cb200477-40ce-4e6b-aa8d-3e2249b4e274 · outbound

This paper cites How to tame mobility in federated learning over mobile networks?.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification How to tame mobility in federated learning over mobile networks?

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.103840Z

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 40a84d50-d518-4685-84ef-671667530926 · outbound

This paper cites Mobility accelerates learning: Convergence analysis on hierarchical federated learning in vehicular networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Mobility accelerates learning: Convergence analysis on hierarchical federated learning in vehicular networks,

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:51:04.672283Z

Source-reported events for the cited work

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Observation 69f1d472-73a1-4371-9af5-e8b19edbe7a9 · outbound

This paper cites Exploiting moving intelligence: Delay-optimized computation offloading in vehicular fog networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Exploiting moving intelligence: Delay-optimized computation offloading in vehicular fog networks,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.084087Z

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 3c4729fe-0618-410d-9f2c-893dcfc014ac · outbound

This paper cites Adaptive learning-based task offloading for vehicular edge computing systems,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Adaptive learning-based task offloading for vehicular edge computing systems,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.072682Z

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 5945afa5-7f39-4841-8b41-fdf88551649e · outbound

This paper cites Joint task offloading and resource allocation for vehicular edge computing based on V2I and V2V modes,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Joint task offloading and resource allocation for vehicular edge computing based on V2I and V2V modes,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.060993Z

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 6d448a42-3478-4250-a142-cf5a4a8c50eb · outbound

This paper cites A cooperative computation offloading strategy with on-demand deployment of multi-UA Vs in UA V- aided mobile edge computing,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification A cooperative computation offloading strategy with on-demand deployment of multi-UA Vs in UA V- aided mobile edge computing,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:05.048326Z

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 eef3f16b-7134-497b-aade-db4176a058c1 · outbound

This paper cites Federated learning via unmanned aerial vehicle,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Federated learning via unmanned aerial vehicle,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.941126Z

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 71a49553-6e8a-475e-a23b-abac1cec6f1c · outbound

This paper cites UA V-enabled asynchronous federated learning,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification UA V-enabled asynchronous federated learning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.931101Z

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 820ed325-04e8-4545-868b-2d56b406e62b · outbound

This paper cites Local SGD converges fast and communicates little.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Local SGD converges fast and communicates little

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.920542Z

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 94ae0d7e-c9f6-4dc7-84e6-3a5f33aca857 · outbound

This paper cites The error-feedback framework: better rates for SGD with delayed gradients and compressed updates,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification The error-feedback framework: better rates for SGD with delayed gradients and compressed updates,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.909945Z

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 004d6cbf-45a9-431c-b939-aa8f9bbec874 · outbound

This paper cites Fixed point opportunistic routing in delay tolerant networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Fixed point opportunistic routing in delay tolerant networks,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.899447Z

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 5d6f4473-95a4-462d-b2d2-a1709395bd28 · outbound

This paper cites Characterising aggregate inter-contact times in heterogeneous opportunistic networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Characterising aggregate inter-contact times in heterogeneous opportunistic networks,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.889246Z

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 23ea5099-40f2-47ff-b67c-7116d25b709f · outbound

This paper cites Analysis of individual pair and aggre- gate intercontact times in heterogeneous opportunistic networks,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Analysis of individual pair and aggre- gate intercontact times in heterogeneous opportunistic networks,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.878754Z

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 12807689-cbce-4b34-bc11-c051c7c8699b · outbound

This paper cites Sparsified SGD with memory,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Sparsified SGD with memory,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.868192Z

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 79835e87-90eb-438e-b476-23b548571163 · outbound

This paper cites Performance analysis of mobility-assisted routing,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Performance analysis of mobility-assisted routing,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.857595Z

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 7d4364ee-fdeb-481c-a429-9dbdd7db6200 · outbound

This paper cites Contact time in random walk and random waypoint: Dichotomy in tail distribution,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Contact time in random walk and random waypoint: Dichotomy in tail distribution,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.847408Z

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 490fea1d-6270-4998-b07f-d893b16898f0 · outbound

This paper cites an unresolved cited work.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Unresolved cited work

Reference 48

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:51:04.836064Z

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 ed82c77a-e3a0-4f9c-b613-50a14488254b · outbound

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

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Learning multiple layers of features from tiny images,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.823471Z

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 1a34f3d9-51cc-453d-9a2c-c3fbf0e530a6 · outbound

This paper cites Deep residual learning for image recognition,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Deep residual learning for image recognition,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.811584Z

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 6e67778f-811f-4933-a086-acd75d3cf879 · outbound

This paper cites Study on channel model for frequencies from 0.5 to 100 ghz,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Study on channel model for frequencies from 0.5 to 100 ghz,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.799718Z

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 89d8fd91-cf55-46e5-ae54-ef308ecb3165 · outbound

This paper cites Argoverse: 3D tracking and forecasting with rich maps,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Argoverse: 3D tracking and forecasting with rich maps,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.788478Z

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

Observation eb4ed8bd-e6df-4bde-8db4-f708851c6306 · outbound

This paper cites Learning lane graph representations for motion forecasting,.

Mobility-Aware Asynchronous Federated Learning with Dynamic Sparsification Learning lane graph representations for motion forecasting,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:51:04.775612Z

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.

Coverage vector

Reference resolution

Outbound references

Pith citing papers