pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data | Paper Citation Record

Observation 3892b680-e2ef-4280-8c9f-7ac9bf6b2a5e · outbound

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

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Communication-efficient learning of deep networks from decentralized data,

Reference 1

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Observation 0e0f8b59-e7c3-44f4-ac89-7889273eb1c8 · outbound

This paper cites Personalized Federated Learning: A Meta-Learning Approach.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Personalized Federated Learning: A Meta-Learning Approach

Reference 2

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Observation 04fd4ae0-1ce6-43d0-babe-d827200eaf90 · outbound

This paper cites Adaptive Personalized Federated Learning.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Adaptive Personalized Federated Learning

Reference 3

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Observation d56fd377-2773-45a1-8e4d-7e7cc569a0f3 · outbound

This paper cites Optimality and stability in federated learning: A game-theoretic approach,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Optimality and stability in federated learning: A game-theoretic approach,

Reference 4

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation eff32f78-6305-4bb2-bcc5-ab7ce65ee211 · outbound

This paper cites An efficient frame- work for clustered federated learning,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data An efficient frame- work for clustered federated learning,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.706275Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3ada7224-7762-4417-bfb1-ef5d79b84631 · outbound

This paper cites Towards provably personalized federated learning via threshold-clustering of similar clients,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Towards provably personalized federated learning via threshold-clustering of similar clients,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.693340Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cdd361ff-6b78-4137-baa9-b2812baa2bcb · outbound

This paper cites How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data How to Collaborate: Towards Maximizing the Generalization Performance in Cross-Silo Federated Learning

Reference 7

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Observation 649932de-bbda-46bc-90e1-11c2f54c96c4 · outbound

This paper cites Wireless communications for collaborative federated learning,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Wireless communications for collaborative federated learning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.681730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2eee1d67-fb47-4bf2-881c-51dc6ff6104b · outbound

This paper cites Federated learning over wireless fading channels,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Federated learning over wireless fading channels,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.669988Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a9d727a3-cd17-4253-a1d7-61e5ddc92a09 · outbound

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

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data A joint learning and communications framework for federated learning over wireless networks,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.658671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 57d6395c-c2d2-4327-8181-0a6f0fa8fec3 · outbound

This paper cites Interference management for over-the-air federated learning in multi-cell wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Interference management for over-the-air federated learning in multi-cell wireless networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.646844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6a36574-d9c6-453a-a558-a81affdd8188 · outbound

This paper cites Performance optimization for variable bitwidth federated learning in wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Performance optimization for variable bitwidth federated learning in wireless networks,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.635791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 87fa0f5e-4d4f-4e11-987d-1b8c05489ba4 · outbound

This paper cites Performance analysis for resource constrained decen- tralized federated learning over wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Performance analysis for resource constrained decen- tralized federated learning over wireless networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.624903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 54d0ad44-0bef-4f90-a47b-91ae07819b7c · outbound

This paper cites Robust federated learning for unreliable and resource-limited wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Robust federated learning for unreliable and resource-limited wireless networks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.612146Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation efb1c9d9-1cca-4562-a435-1343cfbb911b · outbound

This paper cites Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Optimizing NOMA Transmissions to Advance Federated Learning in Vehicular Networks

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:44:07.211906Z

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Observation 6a3ac09e-bafb-4367-9d16-38955eba0666 · outbound

This paper cites Personalized federated learning with moreau envelopes,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Personalized federated learning with moreau envelopes,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.599216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b81d5795-5a7e-4e75-9715-7384683aa8ef · outbound

This paper cites Federated multi-task learning,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Federated multi-task learning,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.586393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 99850994-1a8e-448b-be9f-03dc1decfe86 · outbound

This paper cites Dynamic personalized federated learn- ing with adaptive differential privacy,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Dynamic personalized federated learn- ing with adaptive differential privacy,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.572922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation db8b6c16-c52f-4234-b053-934c95223672 · outbound

This paper cites Efficient cluster selection for personalized federated learning: A multi-armed bandit approach,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Efficient cluster selection for personalized federated learning: A multi-armed bandit approach,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.561360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation df56899b-1a42-4d98-ae0b-e3ef2e6ea7ab · outbound

This paper cites Joint device schedul- ing and resource allocation for latency constrained wireless federated learning,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Joint device schedul- ing and resource allocation for latency constrained wireless federated learning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.548634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b53f4b7d-da78-41e5-b5e8-6978c7ee4d19 · outbound

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

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Federated learning over wireless networks: Convergence analysis and resource allocation,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.534368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 1d23ba5f-1832-4b61-a320-fd2a021a5365 · outbound

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

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Client selection and bandwidth allocation in wireless federated learning networks: A long-term perspective,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.520752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8a102a4c-f57a-4e52-83ca-3ca6c8958eaf · outbound

This paper cites Energy-efficient federated learning with resource allocation for green iot edge intelligence in b5g,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Energy-efficient federated learning with resource allocation for green iot edge intelligence in b5g,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.506044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e3ab68b-1ea3-4371-a782-53d236c45856 · outbound

This paper cites Resource allocation of federated learning for the metaverse with mobile augmented reality,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Resource allocation of federated learning for the metaverse with mobile augmented reality,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.491549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7722d55-d8ef-4fe8-b2ec-b83c2b2b852e · outbound

This paper cites Energy efficient federated learning over wireless communication networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Energy efficient federated learning over wireless communication networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.476420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b940184a-6741-43ec-a150-23bec80379bb · outbound

This paper cites Edge-native intelligence for 6g communications driven by federated learning: A survey of trends and challenges,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Edge-native intelligence for 6g communications driven by federated learning: A survey of trends and challenges,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.464118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 764c2adc-c138-4d5c-9e14-7df214138c52 · outbound

This paper cites Federated learning encounters 6G wireless communication in the scenario of internet of things,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Federated learning encounters 6G wireless communication in the scenario of internet of things,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.452378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 7637613b-c8d8-483a-bd04-4133a01cea93 · outbound

This paper cites De- centralized aggregation for energy-efficient federated learning via d2d communications,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data De- centralized aggregation for energy-efficient federated learning via d2d communications,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.440696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 91817b16-fbef-4be1-ba5b-a3d6e2c6c674 · outbound

This paper cites Connectivity-aware semi-decentralized federated learning over time- varying D2D networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Connectivity-aware semi-decentralized federated learning over time- varying D2D networks,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.428789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2d066524-9423-4999-9590-29f223380531 · outbound

This paper cites Client selection in federated learning: Principles, challenges, and opportunities,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Client selection in federated learning: Principles, challenges, and opportunities,

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:07.056902Z

Source-reported events for the cited work

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Observation 34cde134-737d-4b76-ab30-a75454071e73 · outbound

This paper cites Energy or accuracy? near-optimal user selection and aggregator placement for federated learning in MEC,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Energy or accuracy? near-optimal user selection and aggregator placement for federated learning in MEC,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.406194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a52a8939-c790-45e6-886f-c1a0a6b8e30e · outbound

This paper cites TFL-DT: A trust evaluation scheme for federated learning in digital twin for mobile networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data TFL-DT: A trust evaluation scheme for federated learning in digital twin for mobile networks,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.394177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 770fd4c3-58f0-4bdb-9990-302506485632 · outbound

This paper cites Convergence time minimiza- tion of federated learning over wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Convergence time minimiza- tion of federated learning over wireless networks,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.381234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 74256f26-d6f8-45a7-a163-2dad2fdea655 · outbound

This paper cites Channel-Aware Distributed Transmission Control and Video Streaming in UAV Networks.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Channel-Aware Distributed Transmission Control and Video Streaming in UAV Networks

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-10T19:44:07.196135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 641238d1-dcd1-494c-8b60-b7feb6d8be5c · outbound

This paper cites To transmit or not to transmit? distributed queueing games in infrastructureless wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data To transmit or not to transmit? distributed queueing games in infrastructureless wireless networks,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.368853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5e695743-f24b-4131-a6ae-3975054b54a6 · outbound

This paper cites Interference-aware cross-layer design for distributed video transmission in wireless networks,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Interference-aware cross-layer design for distributed video transmission in wireless networks,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.356348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 95b6b9ed-e247-4706-baf7-f2b29bdce53f · outbound

This paper cites Federated multi-task learning under a mixture of distributions,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Federated multi-task learning under a mixture of distributions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.342717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3933d075-f63c-4784-80bd-90b446940ab0 · outbound

This paper cites Find Your Friends: Personalized Federated Learning with the Right Collaborators.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Find Your Friends: Personalized Federated Learning with the Right Collaborators

Reference 38

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Source-reported events for the cited work

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Observation 06637850-0422-4823-b276-95098d8f42fc · outbound

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

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Learning multiple layers of features from tiny images,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.330527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3a7fde26-304b-478b-92a6-53b185b1ba32 · outbound

This paper cites EMNIST: Ex- tending MNIST to handwritten letters,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data EMNIST: Ex- tending MNIST to handwritten letters,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.317105Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c06abd1b-10f6-4790-8f6f-4abf8e2f3c29 · outbound

This paper cites Ensemble distillation for robust model fusion in federated learning,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Ensemble distillation for robust model fusion in federated learning,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.304972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5b5cd6a4-f67a-402a-9254-9133d2d93d93 · outbound

This paper cites PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:07.104857Z

Source-reported events for the cited work

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Observation 190f206c-dfdf-46dd-ac64-231499940c64 · outbound

This paper cites Tackling the ob- jective inconsistency problem in heterogeneous federated optimization,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Tackling the ob- jective inconsistency problem in heterogeneous federated optimization,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.292152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 53e0447c-52cb-4f24-a965-baf5617ced33 · outbound

This paper cites Per- sonalized cross-silo federated learning on non-IID data,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Per- sonalized cross-silo federated learning on non-IID data,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.277008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c2031bc6-21df-4a97-86d4-951f8ae724ce · outbound

This paper cites On the Convergence of FedAvg on Non-IID Data.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data On the Convergence of FedAvg on Non-IID Data

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T19:44:07.116473Z

Source-reported events for the cited work

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Observation d734c084-a9e3-4813-aa59-286822b2df71 · outbound

This paper cites Federated multi- objective learning,.

pFedWN: A Personalized Federated Learning Framework for D2D Wireless Networks with Heterogeneous Data Federated multi- objective learning,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T19:44:07.264694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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